Generic
Geekbench AI Score
4975
Single Precision Score
5270
Half Precision Score
3769
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 14 2024 05:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 570 Series |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock FM2A68M-DG3+ |
| CPU Information | |
|---|---|
| Name | AMD A4-4000 |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | AuthenticAMD Family 21 Model 19 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
100% |
1657
308.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1818
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
40193
46.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
41947
48.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33281
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (Q)
|
92% |
1855
148.2 IPS |
|
|
Face Detection (SP)
|
100% |
5536
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
6528
77.6 IPS |
|
|
Face Detection (Q)
|
97% |
4535
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15358
118.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17026
131.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
11046
88.9 IPS |
|
|
Style Transfer (SP)
|
100% |
67264
86.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72599
93.3 IPS |
|
|
Style Transfer (Q)
|
98% |
53121
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8180
302.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8938
330.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5708
211.4 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
625
834.6 IPS |
|
|
Text Classification (Q)
|
97% |
547
732.6 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
96% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
375
8.46 IPS |
