Micro-Star International Co., Ltd. Cyborg 14 A13VF
Geekbench ML Score
2943
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 01:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1684
315.1 IPS |
|
|
Image Classification (F16)
|
100% |
1699
317.9 IPS |
|
|
Image Classification (I8)
|
99% |
3145
588.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1463
24.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1519
25.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2240
37.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4797
5.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
4618
5.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
16686
20.2 IPS |
|
|
Object Detection (F32)
|
100% |
1507
112.5 IPS |
|
|
Object Detection (F16)
|
100% |
1779
132.8 IPS |
|
|
Object Detection (I8)
|
62% |
1580
117.9 IPS |
|
|
Face Detection (F32)
|
100% |
3131
37.2 IPS |
|
|
Face Detection (F16)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (I8)
|
89% |
3642
43.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3255
25.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5723
44.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
11693
90.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10874
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
8937
11.8 IPS |
|
|
Style Transfer (I8)
|
98% |
18388
24.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2362
84.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2410
86.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4035
144.1 IPS |
|
|
Text Classification (F32)
|
100% |
1387
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1379
1.98 KIPS |
|
|
Text Classification (I8)
|
98% |
410
588.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1682
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1647
30.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2462
45.3 IPS |
