MAINGEAR FORCE
Geekbench AI Score
7349
Single Precision Score
2795
Half Precision Score
13848
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | hate187 |
| Upload Date | March 24 2026 05:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| 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% |
5169
961.2 IPS |
|
|
Image Classification (HP)
|
100% |
953
177.1 IPS |
|
|
Image Classification (Q)
|
99% |
13337
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2241
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18936
307.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16567
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14022
16.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
73330
86.0 IPS |
|
|
Object Detection (SP)
|
100% |
6343
503.1 IPS |
|
|
Object Detection (HP)
|
100% |
1043
82.8 IPS |
|
|
Object Detection (Q)
|
86% |
15294
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
12513
148.7 IPS |
|
|
Face Detection (HP)
|
100% |
2238
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
14621
174.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18369
141.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3380
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
30199
241.0 IPS |
|
|
Style Transfer (SP)
|
100% |
34988
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29863
38.4 IPS |
|
|
Style Transfer (Q)
|
98% |
46239
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5455
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1207
1.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1813
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4535
91.1 IPS |
