Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
14422
Single Precision Score
22768
Half Precision Score
11696
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | January 31 2025 09:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
5928
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
9510
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
5443
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8736
141.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10793
175.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8266
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
83721
97.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
213911
249.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74097
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
6751
535.5 IPS |
|
|
Object Detection (HP)
|
100% |
11370
901.9 IPS |
|
|
Object Detection (Q)
|
84% |
6497
524.0 IPS |
|
|
Face Detection (SP)
|
100% |
16978
201.7 IPS |
|
|
Face Detection (HP)
|
100% |
23848
283.4 IPS |
|
|
Face Detection (Q)
|
97% |
15173
180.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
36074
277.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
68727
529.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
30154
241.2 IPS |
|
|
Style Transfer (SP)
|
100% |
131351
168.9 IPS |
|
|
Style Transfer (HP)
|
100% |
315395
405.4 IPS |
|
|
Style Transfer (Q)
|
98% |
114885
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25273
933.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37647
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18690
692.1 IPS |
|
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (HP)
|
99% |
2967
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1677
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2597
44.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1343
25.2 IPS |
