FUJITSU CLIENT COMPUTING LIMITED FMVU90J3W
Geekbench AI Score
4632
Single Precision Score
7252
Half Precision Score
3334
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2356
438.2 IPS |
|
|
Image Classification (HP)
|
100% |
4238
788.1 IPS |
|
|
Image Classification (Q)
|
100% |
1922
357.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3128
50.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7381
119.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2602
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13701
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19214
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11880
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
99% |
4698
373.7 IPS |
|
|
Object Detection (Q)
|
86% |
2057
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
4471
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8384
99.6 IPS |
|
|
Face Detection (Q)
|
97% |
3505
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9408
72.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
19220
148.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
7446
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42602
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
64839
83.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31561
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6715
247.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10874
401.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3708
137.3 IPS |
|
|
Text Classification (SP)
|
86% |
756
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
627
836.2 IPS |
|
|
Text Classification (Q)
|
84% |
502
682.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (Q)
|
70% |
908
17.0 IPS |
