FUJITSU CLIENT COMPUTING LIMITED FMVUH03001
Geekbench AI Score
7573
Single Precision Score
11312
Half Precision Score
16584
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 02:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVUH03001 |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB30A |
| Power Plan | Fujitsu() |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5042
937.7 IPS |
|
|
Image Classification (HP)
|
100% |
7427
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
8422
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11110
180.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14908
241.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20021
23.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
18578
21.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
60596
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
4714
373.9 IPS |
|
|
Object Detection (HP)
|
100% |
7397
586.7 IPS |
|
|
Object Detection (Q)
|
88% |
10443
836.9 IPS |
|
|
Face Detection (SP)
|
100% |
10085
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
19225
228.4 IPS |
|
|
Face Detection (Q)
|
100% |
30993
368.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18209
140.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
30793
238.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
33830
262.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47679
61.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63448
81.6 IPS |
|
|
Style Transfer (Q)
|
98% |
157246
202.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8813
325.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13077
482.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18945
701.6 IPS |
|
|
Text Classification (SP)
|
71% |
1468
2.12 KIPS |
|
|
Text Classification (HP)
|
71% |
2175
3.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2211
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2834
49.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2868
49.4 IPS |
