ASUS System Product Name
Geekbench AI Score
18997
Single Precision Score
20299
Half Precision Score
14162
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 09:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450M-A II |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8122
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
7149
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
6615
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11907
193.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9620
155.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10006
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
117416
137.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
183850
214.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
99618
116.7 IPS |
|
|
Object Detection (SP)
|
100% |
8426
668.4 IPS |
|
|
Object Detection (HP)
|
100% |
7269
576.6 IPS |
|
|
Object Detection (Q)
|
89% |
6762
541.2 IPS |
|
|
Face Detection (SP)
|
100% |
23166
275.3 IPS |
|
|
Face Detection (HP)
|
100% |
25460
302.5 IPS |
|
|
Face Detection (Q)
|
97% |
17534
209.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
47168
363.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
54261
419.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
35018
282.3 IPS |
|
|
Style Transfer (SP)
|
100% |
207563
266.8 IPS |
|
|
Style Transfer (HP)
|
100% |
263890
339.2 IPS |
|
|
Style Transfer (Q)
|
98% |
169942
219.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33035
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39095
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23469
869.0 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1500
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3782
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1982
44.2 IPS |
