ASUS System Product Name
Geekbench AI Score
25428
Single Precision Score
37727
Half Precision Score
19797
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 12:36 AM |
| Views | 3 |
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% |
9478
1.76 KIPS |
|
|
Image Classification (HP)
|
99% |
14162
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
8463
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18679
302.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25325
410.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17138
278.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
156875
183.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
353651
412.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
141068
165.3 IPS |
|
|
Object Detection (SP)
|
100% |
12690
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
18999
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
10663
858.4 IPS |
|
|
Face Detection (SP)
|
100% |
33205
394.6 IPS |
|
|
Face Detection (HP)
|
100% |
48938
581.5 IPS |
|
|
Face Detection (Q)
|
97% |
29702
354.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
64842
499.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111334
857.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
51577
411.8 IPS |
|
|
Style Transfer (SP)
|
100% |
265308
341.1 IPS |
|
|
Style Transfer (HP)
|
100% |
574167
738.1 IPS |
|
|
Style Transfer (Q)
|
98% |
234307
302.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42767
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50136
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31623
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2549
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3123
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1867
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5150
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4950
85.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2000
37.5 IPS |
