FUJITSU CLIENT COMPUTING LIMITED FMVU90J3W
Geekbench AI Score
2575
Single Precision Score
9013
Half Precision Score
13978
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:06 PM |
| Views | 5 |
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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
6256
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8872
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3089
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3135
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
30489
35.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
64870
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (HP)
|
100% |
5429
430.6 IPS |
|
|
Object Detection (Q)
|
88% |
9156
734.0 IPS |
|
|
Face Detection (SP)
|
100% |
4654
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
15157
180.1 IPS |
|
|
Face Detection (Q)
|
100% |
29257
347.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3860
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17534
135.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
32174
250.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9303
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48745
62.7 IPS |
|
|
Style Transfer (Q)
|
98% |
87568
112.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14255
526.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27637
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1818
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1887
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1888
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1747
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4008
69.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4069
70.1 IPS |
