Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
41400
Single Precision Score
60038
Half Precision Score
30718
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | October 09 2025 05:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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% |
14708
2.74 KIPS |
|
|
Image Classification (HP)
|
100% |
18342
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
12407
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31193
505.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
37745
611.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
28187
458.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
366419
427.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
864149
1.01 KIPS |
|
|
Pose Estimation (Q)
|
96% |
294010
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
20239
1.61 KIPS |
|
|
Object Detection (HP)
|
100% |
25314
2.01 KIPS |
|
|
Object Detection (Q)
|
85% |
17201
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
57091
678.4 IPS |
|
|
Face Detection (HP)
|
100% |
71442
848.9 IPS |
|
|
Face Detection (Q)
|
97% |
47569
567.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
96823
746.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
169379
1.30 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69889
559.8 IPS |
|
|
Style Transfer (SP)
|
100% |
543468
698.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1467567
1.89 KIPS |
|
|
Style Transfer (Q)
|
98% |
453837
585.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63403
2.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84770
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45986
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4362
5.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
6143
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6119
105.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2890
54.2 IPS |
