ASUS System Product Name
Geekbench AI Score
23663
Single Precision Score
38858
Half Precision Score
18893
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 08:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11225
2.09 KIPS |
|
|
Image Classification (HP)
|
100% |
19400
3.61 KIPS |
|
|
Image Classification (Q)
|
100% |
9933
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21669
351.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26886
435.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17697
287.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
166835
194.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
463778
541.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
142930
167.4 IPS |
|
|
Object Detection (SP)
|
100% |
13360
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
17033
1.35 KIPS |
|
|
Object Detection (Q)
|
83% |
10059
812.7 IPS |
|
|
Face Detection (SP)
|
100% |
31327
372.2 IPS |
|
|
Face Detection (HP)
|
100% |
42539
505.5 IPS |
|
|
Face Detection (Q)
|
97% |
22740
271.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
59760
460.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104755
807.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
50063
399.6 IPS |
|
|
Style Transfer (SP)
|
100% |
211710
272.2 IPS |
|
|
Style Transfer (HP)
|
100% |
545634
701.4 IPS |
|
|
Style Transfer (Q)
|
98% |
177222
228.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30262
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47849
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25646
949.6 IPS |
|
|
Text Classification (SP)
|
100% |
2851
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4421
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2269
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2970
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1953
36.6 IPS |
