FUJITSU CLIENT COMPUTING LIMITED FMVUH03001
Geekbench AI Score
2679
Single Precision Score
987
Half Precision Score
4848
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:18 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% |
2196
408.3 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.9 IPS |
|
|
Image Classification (Q)
|
99% |
4455
830.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2529
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4690
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2019
2.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
16226
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
3971
319.2 IPS |
|
|
Face Detection (SP)
|
100% |
5549
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
6708
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5524
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1488
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10689
85.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9715
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6517
8.38 IPS |
|
|
Style Transfer (Q)
|
98% |
17512
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1867
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3102
114.9 IPS |
|
|
Text Classification (SP)
|
100% |
1085
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
496
661.4 IPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (Q)
|
65% |
2027
40.7 IPS |
