Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
42496
Single Precision Score
61328
Half Precision Score
31856
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | October 09 2025 10:03 AM |
| 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% |
14889
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
18636
3.47 KIPS |
|
|
Image Classification (Q)
|
100% |
13032
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31350
508.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
38176
618.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
28645
465.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
378462
441.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
886056
1.03 KIPS |
|
|
Pose Estimation (Q)
|
96% |
306008
358.4 IPS |
|
|
Object Detection (SP)
|
100% |
20695
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
26113
2.07 KIPS |
|
|
Object Detection (Q)
|
85% |
17602
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
58343
693.2 IPS |
|
|
Face Detection (HP)
|
100% |
73145
869.1 IPS |
|
|
Face Detection (Q)
|
97% |
48217
575.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
99660
767.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
174210
1.34 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71778
574.9 IPS |
|
|
Style Transfer (SP)
|
100% |
553988
712.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1477126
1.90 KIPS |
|
|
Style Transfer (Q)
|
98% |
472654
609.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67263
2.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86772
3.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48788
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4362
5.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2244
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6526
112.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6418
110.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2989
56.1 IPS |
