FUJITSU CLIENT COMPUTING LIMITED ULU-JR
Geekbench AI Score
5921
Single Precision Score
8929
Half Precision Score
3927
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED ULU-JR |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB314 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3245
603.4 IPS |
|
|
Image Classification (HP)
|
100% |
3355
624.0 IPS |
|
|
Image Classification (Q)
|
100% |
2187
406.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6121
99.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10746
174.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4524
73.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20104
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
76463
89.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16365
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
3575
283.6 IPS |
|
|
Object Detection (HP)
|
100% |
4733
375.4 IPS |
|
|
Object Detection (Q)
|
89% |
2720
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
6933
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
11688
138.9 IPS |
|
|
Face Detection (Q)
|
97% |
5025
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16788
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29580
227.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
11034
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
45288
58.2 IPS |
|
|
Style Transfer (HP)
|
100% |
76293
98.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34488
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7618
281.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9199
339.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4072
150.8 IPS |
|
|
Text Classification (SP)
|
100% |
649
866.7 IPS |
|
|
Text Classification (HP)
|
100% |
678
905.0 IPS |
|
|
Text Classification (Q)
|
97% |
432
578.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1501
25.9 IPS |
|
|
Machine Translation (Q)
|
60% |
590
13.2 IPS |
