Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
4102
Single Precision Score
4195
Half Precision Score
9585
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | runbotrun |
| Upload Date | January 10 2026 05:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2751
511.6 IPS |
|
|
Image Classification (HP)
|
100% |
2780
517.0 IPS |
|
|
Image Classification (Q)
|
100% |
6328
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3458
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3450
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6571
106.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5258
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
5275
6.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
18323
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.6 IPS |
|
|
Object Detection (HP)
|
100% |
2076
164.6 IPS |
|
|
Object Detection (Q)
|
88% |
6768
542.5 IPS |
|
|
Face Detection (SP)
|
100% |
4876
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
4835
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
8990
106.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7099
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6679
51.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
16480
128.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15540
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15620
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
53501
69.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3309
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3297
121.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10533
390.1 IPS |
|
|
Text Classification (SP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2526
3.37 KIPS |
|
|
Text Classification (Q)
|
92% |
3997
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3804
65.5 IPS |
