Middle Brother ASUS System Product Name
Geekbench AI Score
3990
Single Precision Score
1528
Half Precision Score
6071
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pdindetroit |
| Upload Date | May 17 2025 08:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| 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% |
2988
555.6 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.3 IPS |
|
|
Image Classification (Q)
|
96% |
5784
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
3177
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8500
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5934
6.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
18291
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
3115
247.0 IPS |
|
|
Object Detection (HP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (Q)
|
58% |
4476
489.1 IPS |
|
|
Face Detection (SP)
|
100% |
6250
74.3 IPS |
|
|
Face Detection (HP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (Q)
|
96% |
9774
116.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9114
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2300
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14136
112.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18472
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14839
19.1 IPS |
|
|
Style Transfer (Q)
|
87% |
21486
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2351
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3346
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
636
849.1 IPS |
|
|
Text Classification (Q)
|
97% |
1325
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
3439
66.4 IPS |
