Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
21048
Single Precision Score
29810
Half Precision Score
13563
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | October 09 2025 05:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desktop Codex R |
| Motherboard | MSI PRO B760-VC WIFI (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8063
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
10902
2.03 KIPS |
|
|
Image Classification (Q)
|
100% |
5729
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11931
193.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14926
242.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9290
151.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
167361
195.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
327820
382.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
126239
147.9 IPS |
|
|
Object Detection (SP)
|
100% |
10056
797.6 IPS |
|
|
Object Detection (HP)
|
100% |
13283
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
7195
578.8 IPS |
|
|
Face Detection (SP)
|
100% |
26307
312.6 IPS |
|
|
Face Detection (HP)
|
100% |
34003
404.0 IPS |
|
|
Face Detection (Q)
|
97% |
18678
222.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
59339
457.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97225
749.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
35850
287.1 IPS |
|
|
Style Transfer (SP)
|
100% |
255767
328.8 IPS |
|
|
Style Transfer (HP)
|
100% |
534451
687.0 IPS |
|
|
Style Transfer (Q)
|
98% |
182998
236.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34102
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46582
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20300
751.7 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3024
4.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1332
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1316
24.7 IPS |
