FUJITSU CLIENT COMPUTING LIMITED FMVU3802MP
Geekbench AI Score
1580
Single Precision Score
765
Half Precision Score
3084
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | uehashu |
| Upload Date | July 17 2025 05:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVU3802MP |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB2E7 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1205
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.6 IPS |
|
|
Image Classification (Q)
|
99% |
2448
456.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
487
7.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1784
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
7503
8.80 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
86% |
2720
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
1993
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
872
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
4624
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3052
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1090
8.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
6296
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5536
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
3890
5.00 IPS |
|
|
Style Transfer (Q)
|
98% |
10161
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1138
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2118
78.4 IPS |
|
|
Text Classification (SP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
457
610.2 IPS |
|
|
Text Classification (Q)
|
97% |
868
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (Q)
|
65% |
1607
32.3 IPS |
