Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
13582
Single Precision Score
23007
Half Precision Score
9272
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | January 31 2025 09:24 PM |
| Views | 10 |
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% |
5981
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
9724
1.81 KIPS |
|
|
Image Classification (Q)
|
99% |
4436
827.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9063
146.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13506
218.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7362
119.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
67505
78.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177455
207.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
57222
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
6871
545.0 IPS |
|
|
Object Detection (HP)
|
100% |
12702
1.01 KIPS |
|
|
Object Detection (Q)
|
84% |
5265
424.7 IPS |
|
|
Face Detection (SP)
|
100% |
15947
189.5 IPS |
|
|
Face Detection (HP)
|
100% |
25984
308.7 IPS |
|
|
Face Detection (Q)
|
97% |
12764
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32244
248.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
64055
494.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
22135
177.2 IPS |
|
|
Style Transfer (SP)
|
100% |
108201
139.1 IPS |
|
|
Style Transfer (HP)
|
100% |
283264
364.1 IPS |
|
|
Style Transfer (Q)
|
98% |
92125
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20920
772.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34194
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13195
488.6 IPS |
|
|
Text Classification (SP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3054
4.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1178
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3046
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2852
49.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1181
22.2 IPS |
