ASUS System Product Name
Geekbench AI Score
27797
Single Precision Score
49010
Half Precision Score
22037
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 06:12 AM |
| Views | 2 |
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. TUF GAMING B650-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11298
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
19068
3.55 KIPS |
|
|
Image Classification (Q)
|
100% |
10264
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15990
259.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
27611
447.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17729
288.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
166866
194.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
473272
552.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
144158
168.9 IPS |
|
|
Object Detection (SP)
|
100% |
15068
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
24688
1.96 KIPS |
|
|
Object Detection (Q)
|
83% |
12461
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
40318
479.1 IPS |
|
|
Face Detection (HP)
|
100% |
58431
694.3 IPS |
|
|
Face Detection (Q)
|
97% |
34306
409.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
70442
542.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
133077
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54891
438.1 IPS |
|
|
Style Transfer (SP)
|
100% |
230523
296.3 IPS |
|
|
Style Transfer (HP)
|
100% |
789737
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
197427
254.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42528
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78259
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33504
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3832
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2392
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5684
97.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5734
98.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2774
52.0 IPS |
