Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
4340
Single Precision Score
1439
Half Precision Score
4595
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2026 09:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI DDR4 II (MS-7D99) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| 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% |
3423
636.6 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.3 IPS |
|
|
Image Classification (Q)
|
96% |
4341
810.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
5313
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7215
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4483
5.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
13213
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
814
64.5 IPS |
|
|
Object Detection (Q)
|
58% |
3128
341.8 IPS |
|
|
Face Detection (SP)
|
100% |
8292
98.5 IPS |
|
|
Face Detection (HP)
|
100% |
1826
21.7 IPS |
|
|
Face Detection (Q)
|
96% |
8385
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9180
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2312
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11736
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17383
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10815
13.9 IPS |
|
|
Style Transfer (Q)
|
87% |
17648
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3095
114.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4594
170.2 IPS |
|
|
Text Classification (SP)
|
100% |
1862
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
162
216.3 IPS |
|
|
Text Classification (Q)
|
97% |
239
319.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
68% |
2310
44.6 IPS |
