VNMRX H81
Geekbench AI Score
6379
Single Precision Score
3222
Half Precision Score
4901
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | damarbob |
| Upload Date | July 10 2025 06:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | VNMRX H81 |
| Motherboard | VNMRX H81 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4570 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2557
475.4 IPS |
|
|
Image Classification (HP)
|
100% |
1807
336.0 IPS |
|
|
Image Classification (Q)
|
99% |
2231
416.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3980
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3448
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28308
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5112
5.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
24797
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
3132
248.4 IPS |
|
|
Object Detection (HP)
|
100% |
1714
136.0 IPS |
|
|
Object Detection (Q)
|
83% |
2697
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
6780
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
5998
71.3 IPS |
|
|
Face Detection (Q)
|
97% |
6152
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15884
122.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6750
52.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
12197
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50743
65.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13806
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
41895
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9572
353.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2769
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6553
242.6 IPS |
|
|
Text Classification (SP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (HP)
|
99% |
1262
1.69 KIPS |
|
|
Text Classification (Q)
|
97% |
838
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (Q)
|
70% |
902
16.9 IPS |
