Micro-Star International Co., Ltd. Cyborg 14 A13VF
Geekbench AI Score
8379
Single Precision Score
14941
Half Precision Score
7213
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 30 2024 08:03 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1547
287.6 IPS |
|
|
Image Classification (HP)
|
99% |
4686
874.1 IPS |
|
|
Image Classification (Q)
|
100% |
3612
671.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7240
117.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9125
147.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6563
106.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
48798
56.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
149785
174.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
49373
57.8 IPS |
|
|
Object Detection (SP)
|
100% |
4632
367.4 IPS |
|
|
Object Detection (HP)
|
100% |
8033
637.2 IPS |
|
|
Object Detection (Q)
|
89% |
3233
258.7 IPS |
|
|
Face Detection (SP)
|
100% |
8918
106.0 IPS |
|
|
Face Detection (HP)
|
100% |
17833
211.9 IPS |
|
|
Face Detection (Q)
|
97% |
7599
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20435
157.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55446
427.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
19855
159.5 IPS |
|
|
Style Transfer (SP)
|
100% |
82125
105.6 IPS |
|
|
Style Transfer (HP)
|
100% |
176016
226.3 IPS |
|
|
Style Transfer (Q)
|
98% |
67967
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17481
645.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27204
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12326
456.4 IPS |
|
|
Text Classification (SP)
|
100% |
2019
2.70 KIPS |
|
|
Text Classification (HP)
|
99% |
1515
2.02 KIPS |
|
|
Text Classification (Q)
|
97% |
908
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (Q)
|
60% |
878
19.6 IPS |
