Acer Veriton N4640G
Geekbench ML Score
1075
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 15 2025 08:51 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise 2016 LTSB (64-bit) |
| Model | Acer Veriton N4640G |
| Motherboard | Acer Veriton N4640G(KBL) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500T |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
611
114.4 IPS |
|
|
Image Classification (F16)
|
100% |
583
109.1 IPS |
|
|
Image Classification (I8)
|
97% |
875
163.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
465
7.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
465
7.77 IPS |
|
|
Image Segmentation (I8)
|
97% |
678
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1774
2.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
1841
2.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
3121
3.78 IPS |
|
|
Object Detection (F32)
|
100% |
555
41.4 IPS |
|
|
Object Detection (F16)
|
100% |
577
43.0 IPS |
|
|
Object Detection (I8)
|
60% |
645
48.2 IPS |
|
|
Face Detection (F32)
|
100% |
874
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
914
10.9 IPS |
|
|
Face Detection (I8)
|
87% |
1467
17.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2036
15.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2016
15.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
3346
25.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4148
5.46 IPS |
|
|
Style Transfer (F16)
|
100% |
4311
5.67 IPS |
|
|
Style Transfer (I8)
|
85% |
5481
7.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
949
33.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
912
32.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1282
45.8 IPS |
|
|
Text Classification (F32)
|
100% |
665
956.0 IPS |
|
|
Text Classification (F16)
|
100% |
649
933.1 IPS |
|
|
Text Classification (I8)
|
94% |
210
302.0 IPS |
|
|
Machine Translation (F32)
|
100% |
818
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
834
15.3 IPS |
|
|
Machine Translation (I8)
|
67% |
858
15.8 IPS |
