PC Specialist Ltd F1A
Geekbench ML Score
2953
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2024 07:12 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PC Specialist Ltd F1A |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1427
267.1 IPS |
|
|
Image Classification (F16)
|
100% |
1398
261.6 IPS |
|
|
Image Classification (I8)
|
99% |
2639
493.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1348
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1291
21.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2149
35.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5571
6.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
5728
6.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
20011
24.2 IPS |
|
|
Object Detection (F32)
|
100% |
1563
116.7 IPS |
|
|
Object Detection (F16)
|
100% |
1483
110.7 IPS |
|
|
Object Detection (I8)
|
62% |
1387
103.5 IPS |
|
|
Face Detection (F32)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (F16)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (I8)
|
89% |
3658
43.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6029
46.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6072
47.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
11698
90.7 IPS |
|
|
Style Transfer (F32)
|
100% |
13726
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13128
17.3 IPS |
|
|
Style Transfer (I8)
|
98% |
18294
24.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2395
85.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2535
90.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3926
140.2 IPS |
|
|
Text Classification (F32)
|
100% |
1018
1.46 KIPS |
|
|
Text Classification (F16)
|
100% |
983
1.41 KIPS |
|
|
Text Classification (I8)
|
98% |
393
564.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1505
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1535
28.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2314
42.6 IPS |
