ASUS System Product Name
Geekbench AI Score
23536
Single Precision Score
39452
Half Precision Score
18484
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 08:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10038
1.87 KIPS |
|
|
Image Classification (HP)
|
99% |
15878
2.96 KIPS |
|
|
Image Classification (Q)
|
99% |
9029
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16443
266.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22415
363.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15052
244.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
118062
137.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
375412
438.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
105043
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
11884
942.7 IPS |
|
|
Object Detection (HP)
|
100% |
19964
1.58 KIPS |
|
|
Object Detection (Q)
|
85% |
10406
837.7 IPS |
|
|
Face Detection (SP)
|
100% |
28527
339.0 IPS |
|
|
Face Detection (HP)
|
100% |
45785
544.0 IPS |
|
|
Face Detection (Q)
|
97% |
25111
299.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
57324
441.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
105613
813.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
46362
371.2 IPS |
|
|
Style Transfer (SP)
|
100% |
211949
272.5 IPS |
|
|
Style Transfer (HP)
|
100% |
513939
660.7 IPS |
|
|
Style Transfer (Q)
|
98% |
188999
243.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36679
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58448
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27959
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4571
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2283
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4806
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5158
88.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2232
41.9 IPS |
