Acer Veriton M4640G
Geekbench AI Score
1319
Single Precision Score
669
Half Precision Score
2029
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 04:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Veriton M4640G |
| Motherboard | Acer Veriton M4640G |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1024
190.3 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
96% |
1611
300.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
1878
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2112
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1894
2.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
4124
4.88 IPS |
|
|
Object Detection (SP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
58% |
1145
125.1 IPS |
|
|
Face Detection (SP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
598
7.10 IPS |
|
|
Face Detection (Q)
|
96% |
2916
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2569
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
941
7.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
3752
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5111
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
4210
5.41 IPS |
|
|
Style Transfer (Q)
|
87% |
5342
6.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
781
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1756
65.1 IPS |
|
|
Text Classification (SP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
508
677.7 IPS |
|
|
Text Classification (Q)
|
97% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
68% |
1035
20.0 IPS |
