Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
12346
Single Precision Score
19867
Half Precision Score
8819
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | January 11 2025 10:56 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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% |
5350
994.9 IPS |
|
|
Image Classification (HP)
|
99% |
8255
1.54 KIPS |
|
|
Image Classification (Q)
|
99% |
4161
776.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7268
117.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9810
159.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6131
99.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
68294
79.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
167790
195.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
56907
66.7 IPS |
|
|
Object Detection (SP)
|
100% |
6171
489.5 IPS |
|
|
Object Detection (HP)
|
100% |
10000
793.2 IPS |
|
|
Object Detection (Q)
|
84% |
4930
397.6 IPS |
|
|
Face Detection (SP)
|
100% |
14191
168.6 IPS |
|
|
Face Detection (HP)
|
100% |
21155
251.4 IPS |
|
|
Face Detection (Q)
|
97% |
11669
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
31496
242.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
60473
467.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
22117
177.0 IPS |
|
|
Style Transfer (SP)
|
100% |
112349
144.4 IPS |
|
|
Style Transfer (HP)
|
100% |
267500
343.9 IPS |
|
|
Style Transfer (Q)
|
98% |
90786
117.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19505
720.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30684
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12723
471.1 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2723
3.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1148
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2405
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1162
21.8 IPS |
