FUJITSU CLIENT COMPUTING LIMITED FMVUH03001
Geekbench AI Score
2669
Single Precision Score
1000
Half Precision Score
4537
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVUH03001 |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB30A |
| Power Plan | Fujitsu() |
| 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 | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (HP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (Q)
|
99% |
4298
801.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2543
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4654
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2293
2.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
8656
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1893
150.1 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.8 IPS |
|
|
Object Detection (Q)
|
86% |
4305
345.9 IPS |
|
|
Face Detection (SP)
|
100% |
5694
67.7 IPS |
|
|
Face Detection (HP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
6565
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5488
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1469
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11020
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9994
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
4902
6.30 IPS |
|
|
Style Transfer (Q)
|
98% |
17542
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1802
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1361
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2811
104.1 IPS |
|
|
Text Classification (SP)
|
100% |
1052
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
566
755.5 IPS |
|
|
Text Classification (Q)
|
97% |
1250
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (Q)
|
65% |
2037
40.9 IPS |
