Generic
Geekbench AI Score
2292
Single Precision Score
1109
Half Precision Score
2698
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | February 03 2025 03:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B460M Pro4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1422
264.4 IPS |
|
|
Image Classification (HP)
|
100% |
457
84.9 IPS |
|
|
Image Classification (Q)
|
96% |
2525
471.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1147
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
1280
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4209
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3817
4.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
7208
8.52 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
100% |
579
46.0 IPS |
|
|
Object Detection (Q)
|
58% |
1704
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (Q)
|
96% |
4550
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5731
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1794
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
6755
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11521
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
5422
6.97 IPS |
|
|
Style Transfer (Q)
|
87% |
11056
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1351
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2171
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
1108
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
608
811.0 IPS |
|
|
Text Classification (Q)
|
97% |
405
542.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (Q)
|
68% |
1728
33.4 IPS |
