System manufacturer System Product Name
Geekbench AI Score
7236
Single Precision Score
7870
Half Precision Score
5387
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | zikkzakk |
| Upload Date | December 16 2024 08:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P8P67-M |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2500K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2880
535.7 IPS |
|
|
Image Classification (HP)
|
100% |
3454
642.4 IPS |
|
|
Image Classification (Q)
|
99% |
2422
451.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3338
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3611
58.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2904
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
50881
59.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53850
62.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
41235
48.3 IPS |
|
|
Object Detection (SP)
|
100% |
3150
249.8 IPS |
|
|
Object Detection (HP)
|
100% |
3426
271.8 IPS |
|
|
Object Detection (Q)
|
88% |
2708
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
7994
95.0 IPS |
|
|
Face Detection (HP)
|
100% |
9947
118.2 IPS |
|
|
Face Detection (Q)
|
97% |
6622
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18617
143.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20971
162.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13670
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78746
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
87891
113.0 IPS |
|
|
Style Transfer (Q)
|
98% |
62248
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11975
442.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13099
483.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7729
286.2 IPS |
|
|
Text Classification (SP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1106
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
744
996.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1493
25.8 IPS |
|
|
Machine Translation (Q)
|
70% |
810
15.2 IPS |
