Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
5979
Single Precision Score
1761
Half Precision Score
10175
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 15 2025 11:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TORPEDO (MS-7D32) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4938
918.4 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
99% |
7632
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13887
225.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11596
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4906
5.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
37002
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
4722
374.6 IPS |
|
|
Object Detection (HP)
|
100% |
839
66.6 IPS |
|
|
Object Detection (Q)
|
86% |
8877
713.4 IPS |
|
|
Face Detection (SP)
|
100% |
14425
171.4 IPS |
|
|
Face Detection (HP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
13064
155.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13840
106.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2278
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
21417
170.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25712
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12097
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
27755
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4311
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2298
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6667
246.9 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1665
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3967
79.7 IPS |
