Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
5480
Single Precision Score
1688
Half Precision Score
8560
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| 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% |
4435
824.7 IPS |
|
|
Image Classification (HP)
|
100% |
604
112.4 IPS |
|
|
Image Classification (Q)
|
99% |
7375
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2223
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4333
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10377
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4768
5.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
33933
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
4123
327.0 IPS |
|
|
Object Detection (HP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (Q)
|
86% |
7603
611.0 IPS |
|
|
Face Detection (SP)
|
100% |
10978
130.4 IPS |
|
|
Face Detection (HP)
|
100% |
1850
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
12000
143.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12416
95.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2321
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19272
153.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23737
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11794
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27257
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2223
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5827
215.8 IPS |
|
|
Text Classification (SP)
|
100% |
1896
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1872
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2329
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3728
74.9 IPS |
