ASUS System Product Name
Geekbench AI Score
11009
Single Precision Score
8986
Half Precision Score
8281
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 02:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME A520M-K |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4499
836.7 IPS |
|
|
Image Classification (HP)
|
100% |
4465
830.4 IPS |
|
|
Image Classification (Q)
|
100% |
3825
711.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6935
112.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10483
169.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6244
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
71794
83.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
27693
32.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58937
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
5897
467.8 IPS |
|
|
Object Detection (HP)
|
99% |
5805
461.8 IPS |
|
|
Object Detection (Q)
|
89% |
4721
377.9 IPS |
|
|
Face Detection (SP)
|
100% |
14628
173.8 IPS |
|
|
Face Detection (HP)
|
100% |
13810
164.1 IPS |
|
|
Face Detection (Q)
|
97% |
11041
131.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27221
209.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22969
177.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
20836
167.4 IPS |
|
|
Style Transfer (SP)
|
100% |
155003
199.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63542
81.7 IPS |
|
|
Style Transfer (Q)
|
98% |
118220
152.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15619
576.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19791
730.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11270
417.3 IPS |
|
|
Text Classification (SP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
679
907.0 IPS |
|
|
Text Classification (Q)
|
97% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (Q)
|
60% |
911
20.3 IPS |
