Generic
Geekbench AI Score
2394
Single Precision Score
661
Half Precision Score
2449
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | January 28 2025 07:20 PM |
| Views | 3 |
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% |
1463
272.2 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
97% |
2065
385.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
1496
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4988
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3929
4.58 IPS |
|
|
Pose Estimation (Q)
|
87% |
8326
9.83 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (Q)
|
86% |
1456
117.0 IPS |
|
|
Face Detection (SP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
250
2.97 IPS |
|
|
Face Detection (Q)
|
96% |
2898
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4981
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
807
6.22 IPS |
|
|
Depth Estimation (Q)
|
76% |
4539
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11393
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8851
11.4 IPS |
|
|
Style Transfer (Q)
|
87% |
12010
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2057
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2354
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
590
787.0 IPS |
|
|
Text Classification (Q)
|
97% |
397
532.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1406
31.4 IPS |
