FUJITSU CLIENT COMPUTING LIMITED FMVU90J3W
Geekbench AI Score
2417
Single Precision Score
2441
Half Precision Score
6158
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
1313
244.2 IPS |
|
|
Image Classification (Q)
|
100% |
4533
843.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3856
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2932
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2971
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
11350
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1208
95.8 IPS |
|
|
Object Detection (HP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (Q)
|
88% |
3752
300.8 IPS |
|
|
Face Detection (SP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (Q)
|
100% |
8409
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3815
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3844
29.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10012
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8962
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9312
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33469
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1648
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6421
237.8 IPS |
|
|
Text Classification (SP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
3102
4.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1803
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1692
29.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1877
32.3 IPS |
