MAINGEAR FORCE
Geekbench AI Score
14073
Single Precision Score
13884
Half Precision Score
33203
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | hate187 |
| Upload Date | March 24 2026 05:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
6847
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
6897
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
17066
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9509
154.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9136
148.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25859
419.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
30709
35.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30479
35.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
119994
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
8251
654.4 IPS |
|
|
Object Detection (HP)
|
100% |
7981
633.1 IPS |
|
|
Object Detection (Q)
|
88% |
19030
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
19838
235.7 IPS |
|
|
Face Detection (HP)
|
100% |
19719
234.3 IPS |
|
|
Face Detection (Q)
|
100% |
51203
608.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24808
191.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23816
183.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
65017
506.0 IPS |
|
|
Style Transfer (SP)
|
100% |
76908
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
77025
99.0 IPS |
|
|
Style Transfer (Q)
|
98% |
275107
354.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14208
524.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13934
514.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37149
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4351
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4278
5.71 KIPS |
|
|
Text Classification (Q)
|
92% |
5497
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
7899
136.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8056
138.8 IPS |
|
|
Machine Translation (Q)
|
100% |
8641
148.8 IPS |
