FUJITSU CLIENT COMPUTING LIMITED FMVWE3U27L
Geekbench AI Score
1144
Single Precision Score
612
Half Precision Score
2501
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 02:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVWE3U27L |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNB2E0 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
945
175.8 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
99% |
2043
381.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
364
5.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1210
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1484
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1194
1.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
5123
6.01 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
86% |
1991
160.0 IPS |
|
|
Face Detection (SP)
|
100% |
2002
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (Q)
|
97% |
3598
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1807
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
832
6.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
4698
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3473
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
2844
3.66 IPS |
|
|
Style Transfer (Q)
|
98% |
8481
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
739
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
681
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1797
66.6 IPS |
|
|
Text Classification (SP)
|
100% |
732
976.8 IPS |
|
|
Text Classification (HP)
|
100% |
422
563.5 IPS |
|
|
Text Classification (Q)
|
97% |
926
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (Q)
|
65% |
1597
32.1 IPS |
