Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
3733
Single Precision Score
3675
Half Precision Score
8713
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | January 31 2025 08:17 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12400F |
| 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 i5-12400F |
| 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% |
2322
431.8 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.5 IPS |
|
|
Image Classification (Q)
|
100% |
5498
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5571
90.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4116
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4134
4.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
16027
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
2186
173.4 IPS |
|
|
Object Detection (Q)
|
88% |
5773
462.8 IPS |
|
|
Face Detection (SP)
|
100% |
5470
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
5654
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
13000
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5756
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5754
44.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14103
109.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12753
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13476
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
47751
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2760
101.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8751
324.1 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
3882
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3031
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3045
52.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2992
51.5 IPS |
