Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
42008
Single Precision Score
60655
Half Precision Score
31363
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | September 20 2025 07:01 PM |
| Views | 7 |
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% |
15147
2.82 KIPS |
|
|
Image Classification (HP)
|
100% |
18717
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
13155
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31007
502.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
37521
608.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
28170
458.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
370498
432.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
874591
1.02 KIPS |
|
|
Pose Estimation (Q)
|
96% |
300494
352.0 IPS |
|
|
Object Detection (SP)
|
100% |
20496
1.63 KIPS |
|
|
Object Detection (HP)
|
100% |
25241
2.00 KIPS |
|
|
Object Detection (Q)
|
85% |
17331
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
57036
677.7 IPS |
|
|
Face Detection (HP)
|
100% |
71000
843.6 IPS |
|
|
Face Detection (Q)
|
97% |
47518
566.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
98591
759.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
172752
1.33 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70392
563.8 IPS |
|
|
Style Transfer (SP)
|
100% |
552603
710.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1467263
1.89 KIPS |
|
|
Style Transfer (Q)
|
98% |
456449
588.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66343
2.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86954
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47793
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4466
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2242
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6262
107.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6221
107.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2917
54.7 IPS |
