ASUS System Product Name
Geekbench AI Score
2985
Single Precision Score
2920
Half Precision Score
2167
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hunter432119 |
| Upload Date | September 17 2025 09:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-E GAMING WIFI |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1191
221.4 IPS |
|
|
Image Classification (HP)
|
100% |
1182
219.9 IPS |
|
|
Image Classification (Q)
|
99% |
989
184.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1330
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11738
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11025
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
10150
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (Q)
|
83% |
1223
98.8 IPS |
|
|
Face Detection (SP)
|
100% |
2933
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (Q)
|
97% |
2278
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6189
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5976
46.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
4723
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20156
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18701
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16895
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4559
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4364
161.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3055
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
499
667.9 IPS |
|
|
Machine Translation (SP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (HP)
|
96% |
957
16.6 IPS |
|
|
Machine Translation (Q)
|
70% |
507
9.51 IPS |
