ASUS System Product Name
Geekbench AI Score
15716
Single Precision Score
25217
Half Precision Score
12424
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | August 17 2024 05:17 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-K |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6540
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
11078
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
5781
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9389
152.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11951
193.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8816
143.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
86866
101.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
232358
271.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
77515
90.8 IPS |
|
|
Object Detection (SP)
|
100% |
7703
611.0 IPS |
|
|
Object Detection (HP)
|
100% |
12164
964.9 IPS |
|
|
Object Detection (Q)
|
89% |
6934
555.0 IPS |
|
|
Face Detection (SP)
|
100% |
16735
198.8 IPS |
|
|
Face Detection (HP)
|
100% |
24376
289.6 IPS |
|
|
Face Detection (Q)
|
97% |
14009
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
37734
290.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71510
550.9 IPS |
|
|
Depth Estimation (Q)
|
74% |
31081
252.6 IPS |
|
|
Style Transfer (SP)
|
100% |
140735
180.9 IPS |
|
|
Style Transfer (HP)
|
100% |
344978
443.5 IPS |
|
|
Style Transfer (Q)
|
98% |
127938
165.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28383
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43349
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20777
769.4 IPS |
|
|
Text Classification (SP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3586
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1987
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2888
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2973
51.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1391
31.0 IPS |
