MAINGEAR FORCE
Geekbench AI Score
49865
Single Precision Score
75295
Half Precision Score
36682
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | hate187 |
| Upload Date | March 24 2026 05:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MAINGEAR FORCE |
| Motherboard | ASRock X870E Nova WiFi |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17418
3.24 KIPS |
|
|
Image Classification (HP)
|
100% |
23013
4.28 KIPS |
|
|
Image Classification (Q)
|
100% |
15000
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40069
649.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
52959
858.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
36926
600.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
406902
474.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
995956
1.16 KIPS |
|
|
Pose Estimation (Q)
|
96% |
329402
385.8 IPS |
|
|
Object Detection (SP)
|
100% |
25839
2.05 KIPS |
|
|
Object Detection (HP)
|
100% |
34369
2.73 KIPS |
|
|
Object Detection (Q)
|
85% |
21013
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
78742
935.6 IPS |
|
|
Face Detection (HP)
|
100% |
106238
1.26 KIPS |
|
|
Face Detection (Q)
|
97% |
62555
745.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
119158
918.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
193041
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
83714
670.5 IPS |
|
|
Style Transfer (SP)
|
100% |
604306
776.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1803154
2.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
516336
665.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74354
2.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
102329
3.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54531
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2375
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
7786
134.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7739
133.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3286
61.6 IPS |
