Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
4996
Single Precision Score
1686
Half Precision Score
7791
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 01:38 PM |
| Views | 2 |
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% |
4029
749.3 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.2 IPS |
|
|
Image Classification (Q)
|
99% |
6842
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3915
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9750
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4950
5.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
31862
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
3798
301.3 IPS |
|
|
Object Detection (HP)
|
100% |
754
59.8 IPS |
|
|
Object Detection (Q)
|
86% |
6856
551.0 IPS |
|
|
Face Detection (SP)
|
100% |
10239
121.7 IPS |
|
|
Face Detection (HP)
|
100% |
1844
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
10476
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11624
89.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2259
17.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17255
137.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21663
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12688
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26204
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3572
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2327
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5151
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1704
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3391
68.1 IPS |
