Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
5517
Single Precision Score
1671
Half Precision Score
9364
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 10:13 AM |
| Views | 5 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4795
891.8 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
99% |
7475
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12532
203.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10497
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
3942
4.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
34022
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
4375
347.0 IPS |
|
|
Object Detection (HP)
|
100% |
820
65.0 IPS |
|
|
Object Detection (Q)
|
86% |
7837
629.9 IPS |
|
|
Face Detection (SP)
|
100% |
12859
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
1709
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
12676
151.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12498
96.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2029
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19619
156.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23005
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11170
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25795
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3664
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5982
221.5 IPS |
|
|
Text Classification (SP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1667
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3246
65.2 IPS |
