ASUS System Product Name
Geekbench AI Score
29381
Single Precision Score
52005
Half Precision Score
22829
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 09:57 PM |
| Views | 4 |
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. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11396
2.12 KIPS |
|
|
Image Classification (HP)
|
100% |
18692
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10331
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23439
380.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
38027
616.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21479
349.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
171706
200.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
508693
593.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
147058
172.3 IPS |
|
|
Object Detection (SP)
|
100% |
16458
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
27916
2.21 KIPS |
|
|
Object Detection (Q)
|
83% |
13542
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
44780
532.1 IPS |
|
|
Face Detection (HP)
|
100% |
68815
817.7 IPS |
|
|
Face Detection (Q)
|
97% |
37245
444.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
68226
525.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
133005
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55768
445.1 IPS |
|
|
Style Transfer (SP)
|
100% |
238673
306.8 IPS |
|
|
Style Transfer (HP)
|
100% |
806899
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
200293
258.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40333
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75581
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32026
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3158
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2130
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
6838
117.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6831
117.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3066
57.5 IPS |
