ASUS System Product Name
Geekbench AI Score
17153
Single Precision Score
28660
Half Precision Score
13103
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | HdwJunkie |
| Upload Date | October 20 2024 04:50 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6777
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
11709
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
5932
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11999
194.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16429
266.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11110
180.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
87184
101.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
234931
274.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
77368
90.6 IPS |
|
|
Object Detection (SP)
|
100% |
8482
672.8 IPS |
|
|
Object Detection (HP)
|
100% |
14392
1.14 KIPS |
|
|
Object Detection (Q)
|
89% |
7021
562.0 IPS |
|
|
Face Detection (SP)
|
100% |
18727
222.5 IPS |
|
|
Face Detection (HP)
|
100% |
28987
344.4 IPS |
|
|
Face Detection (Q)
|
97% |
15421
183.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37925
292.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
76646
590.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
30922
248.4 IPS |
|
|
Style Transfer (SP)
|
100% |
141743
182.2 IPS |
|
|
Style Transfer (HP)
|
100% |
354307
455.5 IPS |
|
|
Style Transfer (Q)
|
98% |
128330
165.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28978
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47161
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21102
781.4 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2047
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3820
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3981
68.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1577
35.2 IPS |
