System manufacturer System Product Name
Geekbench AI Score
7269
Single Precision Score
7804
Half Precision Score
5377
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | zikkzakk |
| Upload Date | December 16 2024 09:12 AM |
| Views | 2 |
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% |
2898
538.9 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.0 IPS |
|
|
Image Classification (Q)
|
99% |
2431
453.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3372
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3563
57.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2919
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
51329
59.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54561
63.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
41576
48.7 IPS |
|
|
Object Detection (SP)
|
100% |
3133
248.5 IPS |
|
|
Object Detection (HP)
|
100% |
3414
270.8 IPS |
|
|
Object Detection (Q)
|
88% |
2688
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
8016
95.2 IPS |
|
|
Face Detection (HP)
|
100% |
9996
118.8 IPS |
|
|
Face Detection (Q)
|
97% |
6629
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18718
144.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21097
163.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13665
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
79331
102.0 IPS |
|
|
Style Transfer (HP)
|
100% |
91109
117.1 IPS |
|
|
Style Transfer (Q)
|
98% |
63273
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11943
441.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13102
483.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7713
285.6 IPS |
|
|
Text Classification (SP)
|
100% |
1240
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
745
997.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1487
25.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1507
26.1 IPS |
|
|
Machine Translation (Q)
|
70% |
774
14.5 IPS |
