ASUS System Product Name
Geekbench AI Score
20173
Single Precision Score
22247
Half Precision Score
14954
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Jake3231 |
| Upload Date | August 31 2024 09:22 PM |
| Views | 7 |
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 B650-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8812
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
8051
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
7142
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14273
231.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10954
177.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11593
188.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
105131
122.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
179393
209.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
89174
104.5 IPS |
|
|
Object Detection (SP)
|
100% |
9392
745.0 IPS |
|
|
Object Detection (HP)
|
100% |
8045
638.1 IPS |
|
|
Object Detection (Q)
|
89% |
7805
624.7 IPS |
|
|
Face Detection (SP)
|
100% |
24195
287.5 IPS |
|
|
Face Detection (HP)
|
100% |
27161
322.7 IPS |
|
|
Face Detection (Q)
|
97% |
18000
214.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44413
342.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55222
425.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
32931
268.9 IPS |
|
|
Style Transfer (SP)
|
100% |
200637
257.9 IPS |
|
|
Style Transfer (HP)
|
100% |
247991
318.8 IPS |
|
|
Style Transfer (Q)
|
98% |
163862
211.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35613
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42148
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24611
911.3 IPS |
|
|
Text Classification (SP)
|
100% |
2486
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1832
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4710
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4863
83.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2217
49.5 IPS |
