ASUS System Product Name
Geekbench AI Score
28403
Single Precision Score
43181
Half Precision Score
21623
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jcubes |
| Upload Date | June 24 2025 07:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10896
2.03 KIPS |
|
|
Image Classification (HP)
|
99% |
17041
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
9624
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21288
345.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28497
462.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19072
310.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
151296
176.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
363464
424.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
133531
156.5 IPS |
|
|
Object Detection (SP)
|
100% |
14137
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
22263
1.77 KIPS |
|
|
Object Detection (Q)
|
85% |
11809
950.6 IPS |
|
|
Face Detection (SP)
|
100% |
37617
447.0 IPS |
|
|
Face Detection (HP)
|
100% |
55153
655.3 IPS |
|
|
Face Detection (Q)
|
97% |
31971
381.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
66191
510.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110263
849.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
52064
415.7 IPS |
|
|
Style Transfer (SP)
|
100% |
270159
347.3 IPS |
|
|
Style Transfer (HP)
|
100% |
596685
767.0 IPS |
|
|
Style Transfer (Q)
|
98% |
238293
307.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47642
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58274
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33745
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4439
5.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2257
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
6024
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6112
105.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2556
47.9 IPS |
