Middle Brother ASUS System Product Name
Geekbench AI Score
28610
Single Precision Score
49243
Half Precision Score
22319
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pdindetroit |
| Upload Date | May 17 2025 08:15 PM |
| Views | 4 |
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 | 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% |
11087
2.06 KIPS |
|
|
Image Classification (HP)
|
100% |
18321
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
10093
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21390
346.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
31966
518.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19225
312.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
171608
200.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
485913
567.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
147854
173.2 IPS |
|
|
Object Detection (SP)
|
100% |
15070
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
25323
2.01 KIPS |
|
|
Object Detection (Q)
|
83% |
12645
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
42281
502.4 IPS |
|
|
Face Detection (HP)
|
100% |
61984
736.5 IPS |
|
|
Face Detection (Q)
|
97% |
35663
425.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
69889
538.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
128759
992.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
54606
435.9 IPS |
|
|
Style Transfer (SP)
|
100% |
236384
303.9 IPS |
|
|
Style Transfer (HP)
|
100% |
782287
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
202662
261.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40472
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73030
2.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32674
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3967
5.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2231
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6271
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6433
110.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2939
55.1 IPS |
