FUJITSU CLIENT COMPUTING LIMITED FMVWJ2A15W
Geekbench AI Score
1492
Single Precision Score
560
Half Precision Score
3004
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 10:49 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% |
1616
300.5 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.7 IPS |
|
|
Image Classification (Q)
|
99% |
3457
644.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
472
7.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
1890
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1785
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1221
1.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
6039
7.08 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
86% |
3084
247.8 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
655
7.79 IPS |
|
|
Face Detection (Q)
|
97% |
5413
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3215
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
792
6.10 IPS |
|
|
Depth Estimation (Q)
|
78% |
5027
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4573
5.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2507
3.22 IPS |
|
|
Style Transfer (Q)
|
98% |
8047
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1269
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
418
558.6 IPS |
|
|
Text Classification (HP)
|
100% |
229
305.8 IPS |
|
|
Text Classification (Q)
|
97% |
1212
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.40 IPS |
|
|
Machine Translation (Q)
|
65% |
1464
29.4 IPS |
