ASUS System Product Name
Geekbench AI Score
15580
Single Precision Score
24175
Half Precision Score
10683
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | manual123 |
| Upload Date | January 25 2025 09:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550-PLUS AC-HES |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6637
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
9893
1.85 KIPS |
|
|
Image Classification (Q)
|
100% |
4952
920.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8846
143.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11678
189.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7395
120.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
96654
112.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
265945
310.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
78375
91.8 IPS |
|
|
Object Detection (SP)
|
100% |
8207
651.0 IPS |
|
|
Object Detection (HP)
|
100% |
11605
920.5 IPS |
|
|
Object Detection (Q)
|
85% |
6158
495.7 IPS |
|
|
Face Detection (SP)
|
100% |
16492
196.0 IPS |
|
|
Face Detection (HP)
|
100% |
23295
276.8 IPS |
|
|
Face Detection (Q)
|
97% |
13198
157.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
41017
316.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
77759
599.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
27717
222.0 IPS |
|
|
Style Transfer (SP)
|
100% |
164650
211.7 IPS |
|
|
Style Transfer (HP)
|
100% |
390553
502.1 IPS |
|
|
Style Transfer (Q)
|
98% |
125930
162.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27686
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36366
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16313
604.0 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
2953
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1256
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1161
21.8 IPS |
