Micro-Star International Co., Ltd. MS-7D36
Geekbench AI Score
5508
Single Precision Score
1826
Half Precision Score
7322
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 03:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D36 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-P DDR4 (MS-7D36) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4582
852.0 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.2 IPS |
|
|
Image Classification (Q)
|
99% |
7437
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1197
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3664
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10534
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5067
5.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
34537
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3921
311.0 IPS |
|
|
Object Detection (HP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (Q)
|
86% |
6918
556.0 IPS |
|
|
Face Detection (SP)
|
100% |
10405
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
1903
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
11397
135.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12303
94.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2326
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19194
153.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24914
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12768
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24238
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3989
147.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2492
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5950
220.3 IPS |
|
|
Text Classification (SP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
670
897.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3219
64.7 IPS |
