AMD
Geekbench AI Score
2268
Single Precision Score
3474
Half Precision Score
1614
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Namelessmint |
| Upload Date | May 15 2025 12:58 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AMD |
| Motherboard | AMD A520 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
880
163.7 IPS |
|
|
Image Classification (HP)
|
100% |
1360
253.0 IPS |
|
|
Image Classification (Q)
|
100% |
753
140.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
891
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10250
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19007
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
7467
8.75 IPS |
|
|
Object Detection (SP)
|
100% |
938
74.4 IPS |
|
|
Object Detection (HP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (Q)
|
88% |
835
67.0 IPS |
|
|
Face Detection (SP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (Q)
|
97% |
1402
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4696
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7934
61.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3525
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17305
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29391
37.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11985
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3021
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5560
205.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1899
70.3 IPS |
|
|
Text Classification (SP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
594
796.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (Q)
|
70% |
506
9.49 IPS |
