Generic
Geekbench AI Score
15918
Single Precision Score
26886
Half Precision Score
12847
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 03:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B560M Steel Legend |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6048
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10942
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
5591
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9998
162.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13073
211.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9218
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
92009
107.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
266147
310.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
79625
93.3 IPS |
|
|
Object Detection (SP)
|
100% |
8290
657.6 IPS |
|
|
Object Detection (HP)
|
100% |
11846
939.6 IPS |
|
|
Object Detection (Q)
|
83% |
7350
593.9 IPS |
|
|
Face Detection (SP)
|
100% |
19849
235.8 IPS |
|
|
Face Detection (HP)
|
100% |
28485
338.5 IPS |
|
|
Face Detection (Q)
|
97% |
17904
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43304
333.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84584
651.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35719
285.6 IPS |
|
|
Style Transfer (SP)
|
100% |
140637
180.8 IPS |
|
|
Style Transfer (HP)
|
100% |
435091
559.3 IPS |
|
|
Style Transfer (Q)
|
98% |
120607
155.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23458
866.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43021
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18644
690.4 IPS |
|
|
Text Classification (SP)
|
100% |
2736
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2920
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3036
52.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1516
28.4 IPS |
