FUJITSU CLIENT COMPUTING LIMITED FMVU90J3W
Geekbench AI Score
2398
Single Precision Score
7186
Half Precision Score
11094
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 02:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVU90J3W |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB30A |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
5336
992.4 IPS |
|
|
Image Classification (Q)
|
100% |
6995
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3042
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3424
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
29050
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
62006
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.4 IPS |
|
|
Object Detection (HP)
|
100% |
4320
342.6 IPS |
|
|
Object Detection (Q)
|
89% |
7415
593.9 IPS |
|
|
Face Detection (SP)
|
100% |
3827
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
10776
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
22489
267.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3188
24.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15179
116.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
29953
233.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9946
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
43792
56.3 IPS |
|
|
Style Transfer (Q)
|
98% |
78315
101.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1819
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11233
414.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18260
676.2 IPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1131
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1430
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2650
45.6 IPS |
