ASUS System Product Name
Geekbench AI Score
21431
Single Precision Score
35796
Half Precision Score
16739
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 09:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9328
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
14738
2.75 KIPS |
|
|
Image Classification (Q)
|
99% |
8376
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13998
226.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18536
300.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12885
209.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
114391
133.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
350560
409.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
99708
116.8 IPS |
|
|
Object Detection (SP)
|
100% |
10804
857.0 IPS |
|
|
Object Detection (HP)
|
100% |
18698
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
9446
760.5 IPS |
|
|
Face Detection (SP)
|
100% |
25805
306.6 IPS |
|
|
Face Detection (HP)
|
100% |
40302
478.9 IPS |
|
|
Face Detection (Q)
|
97% |
23061
275.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
48824
376.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95895
738.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
39717
318.0 IPS |
|
|
Style Transfer (SP)
|
100% |
200821
258.2 IPS |
|
|
Style Transfer (HP)
|
100% |
487564
626.8 IPS |
|
|
Style Transfer (Q)
|
98% |
178422
230.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34419
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54370
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25803
955.4 IPS |
|
|
Text Classification (SP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4376
5.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2033
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4134
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4303
74.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1983
37.2 IPS |
