Generic
Geekbench AI Score
12754
Single Precision Score
14984
Half Precision Score
8956
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kyk |
| Upload Date | August 22 2024 06:20 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | ASUS Radeon RX Vega |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450 Steel Legend |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 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% |
4995
928.9 IPS |
|
|
Image Classification (HP)
|
100% |
5987
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
3924
729.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6902
111.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7708
125.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6002
97.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
84057
98.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
126160
147.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
69351
81.2 IPS |
|
|
Object Detection (SP)
|
100% |
5929
470.3 IPS |
|
|
Object Detection (HP)
|
100% |
6184
490.5 IPS |
|
|
Object Detection (Q)
|
89% |
4824
386.3 IPS |
|
|
Face Detection (SP)
|
100% |
14918
177.3 IPS |
|
|
Face Detection (HP)
|
100% |
17327
205.9 IPS |
|
|
Face Detection (Q)
|
97% |
11460
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
31601
243.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36470
281.0 IPS |
|
|
Depth Estimation (Q)
|
72% |
22302
183.7 IPS |
|
|
Style Transfer (SP)
|
100% |
160018
205.7 IPS |
|
|
Style Transfer (HP)
|
100% |
226741
291.5 IPS |
|
|
Style Transfer (Q)
|
98% |
126097
162.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19395
716.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23285
859.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13446
497.9 IPS |
|
|
Text Classification (SP)
|
100% |
1772
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1794
2.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1000
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2557
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2648
45.6 IPS |
|
|
Machine Translation (Q)
|
60% |
973
21.9 IPS |
