MAINGEAR RUSH
Geekbench AI Score
4636
Single Precision Score
1775
Half Precision Score
10215
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 10:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MAINGEAR RUSH |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3763
699.9 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.7 IPS |
|
|
Image Classification (Q)
|
99% |
9450
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13998
227.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8041
9.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
39790
46.7 IPS |
|
|
Object Detection (SP)
|
100% |
3890
308.6 IPS |
|
|
Object Detection (HP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (Q)
|
86% |
10138
814.8 IPS |
|
|
Face Detection (SP)
|
100% |
8042
95.6 IPS |
|
|
Face Detection (HP)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
11986
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9698
74.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2194
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17399
138.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17671
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19795
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
42032
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2544
93.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2242
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5246
194.3 IPS |
|
|
Text Classification (SP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1273
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2908
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3964
79.7 IPS |
