Middle Brother ASUS System Product Name
Geekbench AI Score
28554
Single Precision Score
49006
Half Precision Score
22187
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pdindetroit |
| Upload Date | May 15 2025 09:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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% |
11030
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
18332
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
10028
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21285
345.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
31880
516.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19049
309.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
170289
198.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
482187
562.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
146925
172.1 IPS |
|
|
Object Detection (SP)
|
100% |
15087
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
25254
2.00 KIPS |
|
|
Object Detection (Q)
|
83% |
12542
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
42483
504.8 IPS |
|
|
Face Detection (HP)
|
100% |
62964
748.1 IPS |
|
|
Face Detection (Q)
|
97% |
35520
423.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
69586
536.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
128160
987.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
54613
435.9 IPS |
|
|
Style Transfer (SP)
|
100% |
233656
300.4 IPS |
|
|
Style Transfer (HP)
|
100% |
756034
971.9 IPS |
|
|
Style Transfer (Q)
|
98% |
199601
257.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40852
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71597
2.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32641
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2218
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
6285
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6445
111.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2930
54.9 IPS |
