ASUS System Product Name
Geekbench AI Score
25278
Single Precision Score
36100
Half Precision Score
19466
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 12:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9794
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
12878
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
8399
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17779
288.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25219
408.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16720
271.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
156331
182.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
350555
409.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
139824
163.8 IPS |
|
|
Object Detection (SP)
|
100% |
12263
972.7 IPS |
|
|
Object Detection (HP)
|
100% |
17483
1.39 KIPS |
|
|
Object Detection (Q)
|
85% |
9865
794.1 IPS |
|
|
Face Detection (SP)
|
100% |
32425
385.3 IPS |
|
|
Face Detection (HP)
|
100% |
45851
544.8 IPS |
|
|
Face Detection (Q)
|
97% |
29359
350.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
64703
498.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104048
801.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
50661
404.5 IPS |
|
|
Style Transfer (SP)
|
100% |
264033
339.4 IPS |
|
|
Style Transfer (HP)
|
100% |
573625
737.4 IPS |
|
|
Style Transfer (Q)
|
98% |
222811
287.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42429
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49111
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30885
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2647
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
3071
4.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1763
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4576
78.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2235
41.9 IPS |
