Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
20978
Single Precision Score
29751
Half Precision Score
13562
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | September 20 2025 07:05 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% |
8098
1.51 KIPS |
|
|
Image Classification (HP)
|
99% |
10826
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
5792
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11893
192.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14904
241.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9294
151.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
163534
190.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
325434
379.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
125683
147.3 IPS |
|
|
Object Detection (SP)
|
100% |
10004
793.5 IPS |
|
|
Object Detection (HP)
|
100% |
13393
1.06 KIPS |
|
|
Object Detection (Q)
|
85% |
7228
581.4 IPS |
|
|
Face Detection (SP)
|
100% |
26068
309.7 IPS |
|
|
Face Detection (HP)
|
100% |
33619
399.5 IPS |
|
|
Face Detection (Q)
|
97% |
18616
222.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
59060
455.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97132
748.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
35535
284.6 IPS |
|
|
Style Transfer (SP)
|
100% |
252757
324.9 IPS |
|
|
Style Transfer (HP)
|
100% |
530808
682.4 IPS |
|
|
Style Transfer (Q)
|
98% |
183554
236.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34226
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46902
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20322
752.5 IPS |
|
|
Text Classification (SP)
|
100% |
2505
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
3044
4.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1341
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1301
24.4 IPS |
