FUJITSU CLIENT COMPUTING LIMITED FMVPH01001
Geekbench AI Score
2633
Single Precision Score
1115
Half Precision Score
5298
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 24 2025 01:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVPH01001 |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB30D |
| 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% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.3 IPS |
|
|
Image Classification (Q)
|
99% |
4571
852.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
727
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6207
100.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4242
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
15599
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (HP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
86% |
4515
362.8 IPS |
|
|
Face Detection (SP)
|
100% |
5514
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
6241
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5014
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1580
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10583
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10330
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7121
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
16898
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1840
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1400
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3470
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
522
696.2 IPS |
|
|
Text Classification (Q)
|
97% |
1167
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
1930
38.8 IPS |
