ASUS System Product Name
Geekbench AI Score
3405
Single Precision Score
1551
Half Precision Score
5680
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | LanShar |
| Upload Date | November 18 2024 12:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | Utilisation normale |
| 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% |
1745
324.5 IPS |
|
|
Image Classification (HP)
|
100% |
505
93.9 IPS |
|
|
Image Classification (Q)
|
99% |
4435
827.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3818
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7112
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
31336
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
2059
163.3 IPS |
|
|
Object Detection (HP)
|
100% |
660
52.3 IPS |
|
|
Object Detection (Q)
|
88% |
2040
163.5 IPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
5625
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7138
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2306
17.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
9764
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17799
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15440
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33522
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2247
83.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3720
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
682
909.9 IPS |
|
|
Text Classification (Q)
|
97% |
1462
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2654
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
661
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3227
72.0 IPS |
