Micro-Star International Co., Ltd. Cyborg 14 A13VF
Geekbench ML Score
9936
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 06:08 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Cyborg 14 A13VF |
| Motherboard | Micro-Star International Co., Ltd. MS-14P1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4815
901.0 IPS |
|
|
Image Classification (F16)
|
100% |
5078
950.2 IPS |
|
|
Image Classification (I8)
|
100% |
4606
861.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
8661
144.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
7137
119.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
6398
106.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
49948
60.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
59469
72.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
54650
66.2 IPS |
|
|
Object Detection (F32)
|
100% |
2671
199.4 IPS |
|
|
Object Detection (F16)
|
100% |
2366
176.6 IPS |
|
|
Object Detection (I8)
|
61% |
3508
261.9 IPS |
|
|
Face Detection (F32)
|
100% |
14535
172.8 IPS |
|
|
Face Detection (F16)
|
100% |
14335
170.4 IPS |
|
|
Face Detection (I8)
|
89% |
12026
143.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
30146
233.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
29425
228.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
25760
199.8 IPS |
|
|
Style Transfer (F32)
|
100% |
110814
145.8 IPS |
|
|
Style Transfer (F16)
|
100% |
79007
103.9 IPS |
|
|
Style Transfer (I8)
|
98% |
73139
96.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16122
575.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16040
572.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12265
438.0 IPS |
|
|
Text Classification (F32)
|
100% |
1905
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1740
2.50 KIPS |
|
|
Text Classification (I8)
|
98% |
1041
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
2909
53.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2910
53.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1515
27.9 IPS |
