FUJITSU CLIENT COMPUTING LIMITED FMVU90J3W
Geekbench AI Score
2504
Single Precision Score
2468
Half Precision Score
6029
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 07 2025 11:28 AM |
| Views | 5 |
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% |
1360
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
1382
257.1 IPS |
|
|
Image Classification (Q)
|
100% |
4510
838.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4074
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3050
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3145
3.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
12325
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1430
113.5 IPS |
|
|
Object Detection (HP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (Q)
|
88% |
3892
312.0 IPS |
|
|
Face Detection (SP)
|
100% |
4656
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
4598
54.6 IPS |
|
|
Face Detection (Q)
|
100% |
8893
105.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3978
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4025
31.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
9982
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9189
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9552
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32204
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7170
265.5 IPS |
|
|
Text Classification (SP)
|
100% |
1668
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
2908
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1530
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1209
20.8 IPS |
