FUJITSU FMVE10005
Geekbench AI Score
547
Single Precision Score
329
Half Precision Score
678
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 01:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6300U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | FUJITSU FMVE10005 |
| Motherboard | FUJITSU FJNB292 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
359
66.7 IPS |
|
|
Image Classification (HP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (Q)
|
96% |
535
99.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
305
4.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
696
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
544
0.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
1182
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
58% |
445
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
932
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
438
5.20 IPS |
|
|
Face Detection (Q)
|
96% |
1150
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
896
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
511
3.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
1505
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1788
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
1596
2.05 IPS |
|
|
Style Transfer (Q)
|
87% |
2452
3.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
525
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
317
423.1 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.9 IPS |
|
|
Text Classification (Q)
|
97% |
174
232.5 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (Q)
|
68% |
618
11.9 IPS |
