System manufacturer System Product Name
Geekbench AI Score
17804
Single Precision Score
19807
Half Precision Score
14300
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Brock_Suire |
| Upload Date | June 13 2025 03:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8362
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
8178
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
7019
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9300
150.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8137
131.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8193
133.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
121078
141.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
184295
215.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
104806
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
8213
651.4 IPS |
|
|
Object Detection (HP)
|
100% |
8240
653.6 IPS |
|
|
Object Detection (Q)
|
87% |
7257
582.9 IPS |
|
|
Face Detection (SP)
|
100% |
21357
253.8 IPS |
|
|
Face Detection (HP)
|
100% |
22208
263.9 IPS |
|
|
Face Detection (Q)
|
97% |
17948
214.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49244
379.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53655
413.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
37953
304.8 IPS |
|
|
Style Transfer (SP)
|
100% |
231276
297.3 IPS |
|
|
Style Transfer (HP)
|
100% |
304239
391.1 IPS |
|
|
Style Transfer (Q)
|
98% |
186738
240.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31000
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35264
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23001
851.7 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2641
3.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1554
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2633
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2725
46.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1799
33.7 IPS |
