Micro-Star International Co., Ltd. Cyborg 14 A13VF
Geekbench ML Score
3271
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 06:02 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1706
319.2 IPS |
|
|
Image Classification (F16)
|
100% |
1759
329.1 IPS |
|
|
Image Classification (I8)
|
99% |
3348
626.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1616
27.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1486
24.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2315
38.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5351
6.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
5119
6.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
18304
22.2 IPS |
|
|
Object Detection (F32)
|
100% |
1746
130.4 IPS |
|
|
Object Detection (F16)
|
100% |
1653
123.4 IPS |
|
|
Object Detection (I8)
|
62% |
1730
129.1 IPS |
|
|
Face Detection (F32)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (F16)
|
100% |
3387
40.3 IPS |
|
|
Face Detection (I8)
|
89% |
3909
46.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5868
45.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6069
47.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
12570
97.5 IPS |
|
|
Style Transfer (F32)
|
100% |
13818
18.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12703
16.7 IPS |
|
|
Style Transfer (I8)
|
98% |
19397
25.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2870
102.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2566
91.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4147
148.1 IPS |
|
|
Text Classification (F32)
|
100% |
1434
2.06 KIPS |
|
|
Text Classification (F16)
|
100% |
1447
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
438
629.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1963
36.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1919
35.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2685
49.4 IPS |
