FUJITSU CLIENT COMPUTING LIMITED FMVWJ2A15W
Geekbench AI Score
1641
Single Precision Score
628
Half Precision Score
3452
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 02:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | FUJITSU CLIENT COMPUTING LIMITED FMVWJ2A15W |
| Motherboard | FUJITSU CLIENT COMPUTING LIMITED FJNBB7D |
| Power Plan | Fujitsu() |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.8 IPS |
|
|
Image Classification (Q)
|
99% |
3424
638.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
2105
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1871
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1245
1.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
6883
8.07 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
86% |
3058
245.8 IPS |
|
|
Face Detection (SP)
|
100% |
2659
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (Q)
|
97% |
5403
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3377
26.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
796
6.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
7440
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5353
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3399
4.37 IPS |
|
|
Style Transfer (Q)
|
98% |
9339
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2006
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
420
560.9 IPS |
|
|
Text Classification (Q)
|
97% |
1305
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (Q)
|
65% |
1615
32.5 IPS |
