Micro-Star International Co., Ltd. US Desktop Codex R
Geekbench AI Score
14279
Single Precision Score
22829
Half Precision Score
11400
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | January 31 2025 08:21 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% |
5814
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
9585
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
5356
999.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8762
142.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10894
176.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8097
131.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
79815
93.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
208949
243.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
73003
85.5 IPS |
|
|
Object Detection (SP)
|
100% |
6998
555.1 IPS |
|
|
Object Detection (HP)
|
100% |
11372
902.0 IPS |
|
|
Object Detection (Q)
|
84% |
5566
448.9 IPS |
|
|
Face Detection (SP)
|
100% |
16514
196.2 IPS |
|
|
Face Detection (HP)
|
100% |
23777
282.5 IPS |
|
|
Face Detection (Q)
|
97% |
15385
183.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
36844
283.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
70294
541.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
29631
237.0 IPS |
|
|
Style Transfer (SP)
|
100% |
133431
171.5 IPS |
|
|
Style Transfer (HP)
|
100% |
313997
403.6 IPS |
|
|
Style Transfer (Q)
|
98% |
114301
147.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24310
897.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37966
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18826
697.1 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
3019
4.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1646
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2577
44.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1304
24.5 IPS |
