Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
4344
Single Precision Score
1644
Half Precision Score
7631
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | erdomust |
| Upload Date | March 25 2025 08:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC Evaluation (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3320
617.3 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (Q)
|
99% |
6555
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1186
19.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3947
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7209
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4516
5.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
24767
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
3197
253.6 IPS |
|
|
Object Detection (HP)
|
100% |
767
60.8 IPS |
|
|
Object Detection (Q)
|
86% |
6914
555.7 IPS |
|
|
Face Detection (SP)
|
100% |
8773
104.2 IPS |
|
|
Face Detection (HP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
10737
128.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9390
72.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2149
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16310
130.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16889
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10965
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26167
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3204
118.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2194
81.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4560
168.8 IPS |
|
|
Text Classification (SP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2349
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3783
76.0 IPS |
