Micro-Star International Co., Ltd. US Desktop Codex R2
Geekbench AI Score
4373
Single Precision Score
1472
Half Precision Score
6839
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RobertGB1 |
| Upload Date | May 23 2025 03:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desktop Codex R2 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760-VC WIFI 7 BULK (MS-7D98) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3452
642.0 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
99% |
5983
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3449
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7744
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4175
4.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
26359
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
3347
265.5 IPS |
|
|
Object Detection (HP)
|
100% |
680
53.9 IPS |
|
|
Object Detection (Q)
|
86% |
6469
519.9 IPS |
|
|
Face Detection (SP)
|
100% |
9637
114.5 IPS |
|
|
Face Detection (HP)
|
100% |
1595
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
9080
108.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9569
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1979
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15968
127.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18364
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10767
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25262
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3091
114.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2049
75.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3669
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.3 IPS |
|
|
Text Classification (Q)
|
97% |
1462
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3240
65.1 IPS |
