Middle Brother ASUS System Product Name
Geekbench AI Score
4109
Single Precision Score
1552
Half Precision Score
6090
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pdindetroit |
| Upload Date | May 15 2025 09:29 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 | High performance |
| 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% |
3046
566.5 IPS |
|
|
Image Classification (HP)
|
100% |
543
101.1 IPS |
|
|
Image Classification (Q)
|
96% |
5789
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
3205
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8669
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5912
6.90 IPS |
|
|
Pose Estimation (Q)
|
86% |
18547
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
3011
238.9 IPS |
|
|
Object Detection (HP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
58% |
4453
486.5 IPS |
|
|
Face Detection (SP)
|
100% |
7006
83.2 IPS |
|
|
Face Detection (HP)
|
100% |
1487
17.7 IPS |
|
|
Face Detection (Q)
|
96% |
9798
116.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9670
74.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2285
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13887
110.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17373
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15365
19.8 IPS |
|
|
Style Transfer (Q)
|
87% |
21933
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3368
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
640
854.3 IPS |
|
|
Text Classification (Q)
|
97% |
1365
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2329
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
68% |
3343
64.6 IPS |
