PC Specialist Ltd F1A
Geekbench ML Score
2719
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2024 07:10 AM |
| Views | 3 |
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 | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1361
254.6 IPS |
|
|
Image Classification (F16)
|
100% |
1296
242.5 IPS |
|
|
Image Classification (I8)
|
100% |
1199
224.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1332
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1416
23.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1205
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
12671
15.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
12361
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
9302
11.3 IPS |
|
|
Object Detection (F32)
|
100% |
883
65.9 IPS |
|
|
Object Detection (F16)
|
100% |
850
63.4 IPS |
|
|
Object Detection (I8)
|
54% |
900
67.2 IPS |
|
|
Face Detection (F32)
|
100% |
1099
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (I8)
|
89% |
1005
11.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7212
55.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7498
58.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
6197
48.1 IPS |
|
|
Style Transfer (F32)
|
100% |
38437
50.6 IPS |
|
|
Style Transfer (F16)
|
100% |
34818
45.8 IPS |
|
|
Style Transfer (I8)
|
98% |
30585
40.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6344
226.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6544
233.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5009
178.9 IPS |
|
|
Text Classification (F32)
|
90% |
724
1.04 KIPS |
|
|
Text Classification (F16)
|
90% |
732
1.05 KIPS |
|
|
Text Classification (I8)
|
90% |
573
824.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1526
28.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1558
28.7 IPS |
|
|
Machine Translation (I8)
|
70% |
903
16.6 IPS |
