Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
4356
Single Precision Score
1650
Half Precision Score
7557
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 09:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| 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 i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3427
637.3 IPS |
|
|
Image Classification (HP)
|
100% |
613
113.9 IPS |
|
|
Image Classification (Q)
|
99% |
6602
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3905
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7358
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4416
5.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
25752
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (Q)
|
86% |
6526
524.5 IPS |
|
|
Face Detection (SP)
|
100% |
7812
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
1774
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
10567
126.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9537
73.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2240
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16588
132.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17501
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10885
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24221
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3137
115.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5087
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1947
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2109
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3338
67.1 IPS |
