Pre-Upgrade Results ASUS System Product Name
Geekbench AI Score
24614
Single Precision Score
36280
Half Precision Score
14946
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | babernathy |
| Upload Date | July 05 2025 09:37 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9608
1.79 KIPS |
|
|
Image Classification (HP)
|
99% |
13038
2.43 KIPS |
|
|
Image Classification (Q)
|
100% |
6456
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17593
285.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24518
397.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12300
200.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
164612
192.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
351157
409.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
123471
144.7 IPS |
|
|
Object Detection (SP)
|
100% |
12246
971.3 IPS |
|
|
Object Detection (HP)
|
100% |
16576
1.31 KIPS |
|
|
Object Detection (Q)
|
85% |
8273
665.5 IPS |
|
|
Face Detection (SP)
|
100% |
33180
394.2 IPS |
|
|
Face Detection (HP)
|
100% |
45351
538.9 IPS |
|
|
Face Detection (Q)
|
97% |
21816
260.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
62709
483.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101922
785.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
36715
294.0 IPS |
|
|
Style Transfer (SP)
|
100% |
251414
323.2 IPS |
|
|
Style Transfer (HP)
|
100% |
598351
769.2 IPS |
|
|
Style Transfer (Q)
|
98% |
188082
242.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36982
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50058
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21201
785.0 IPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
99% |
3339
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1374
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4620
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4594
79.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1563
29.3 IPS |
