ASUS System Product Name
Geekbench AI Score
22676
Single Precision Score
25339
Half Precision Score
16745
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:11 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9681
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
9779
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
7663
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14314
232.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13285
215.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13155
213.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
167834
195.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
242474
282.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
146111
171.2 IPS |
|
|
Object Detection (SP)
|
100% |
10425
826.9 IPS |
|
|
Object Detection (HP)
|
99% |
11369
901.8 IPS |
|
|
Object Detection (Q)
|
89% |
8925
714.7 IPS |
|
|
Face Detection (SP)
|
100% |
27151
322.6 IPS |
|
|
Face Detection (HP)
|
100% |
30844
366.5 IPS |
|
|
Face Detection (Q)
|
97% |
21698
258.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
58741
452.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
65417
504.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
44029
360.8 IPS |
|
|
Style Transfer (SP)
|
100% |
296093
380.6 IPS |
|
|
Style Transfer (HP)
|
100% |
418009
537.4 IPS |
|
|
Style Transfer (Q)
|
98% |
243704
314.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30933
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46220
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23637
875.2 IPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1589
35.4 IPS |
