Middle Brother ASUS System Product Name
Geekbench AI Score
5691
Single Precision Score
5695
Half Precision Score
8453
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pdindetroit |
| Upload Date | May 17 2025 08:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3548
659.8 IPS |
|
|
Image Classification (HP)
|
100% |
3527
656.0 IPS |
|
|
Image Classification (Q)
|
100% |
5742
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4455
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4092
66.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7001
113.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7044
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
7256
8.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
20796
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
3955
313.7 IPS |
|
|
Object Detection (HP)
|
100% |
3937
312.3 IPS |
|
|
Object Detection (Q)
|
87% |
6915
554.6 IPS |
|
|
Face Detection (SP)
|
100% |
8438
100.3 IPS |
|
|
Face Detection (HP)
|
100% |
8556
101.7 IPS |
|
|
Face Detection (Q)
|
97% |
18860
224.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9657
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9283
71.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
19165
151.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24742
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25112
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
59893
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5297
195.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10949
405.6 IPS |
|
|
Text Classification (SP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (Q)
|
91% |
466
625.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2991
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2918
50.3 IPS |
