Micro-Star International Co., Ltd. Cyborg 14 A13VF
Geekbench ML Score
3256
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 06:04 PM |
| Views | 5 |
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% |
1731
323.9 IPS |
|
|
Image Classification (F16)
|
100% |
1772
331.6 IPS |
|
|
Image Classification (I8)
|
99% |
3338
624.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1602
26.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1601
26.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2297
38.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5125
6.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
5434
6.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
17285
20.9 IPS |
|
|
Object Detection (F32)
|
100% |
1710
127.7 IPS |
|
|
Object Detection (F16)
|
100% |
1675
125.0 IPS |
|
|
Object Detection (I8)
|
62% |
1457
108.8 IPS |
|
|
Face Detection (F32)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (F16)
|
100% |
3420
40.7 IPS |
|
|
Face Detection (I8)
|
89% |
3919
46.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5942
46.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6589
51.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
12624
97.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12588
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12587
16.6 IPS |
|
|
Style Transfer (I8)
|
98% |
19548
25.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2906
103.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2492
89.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4336
154.9 IPS |
|
|
Text Classification (F32)
|
100% |
1424
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1435
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
450
646.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1950
35.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1961
36.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2615
48.1 IPS |
