Micro-Star International Co., Ltd. MS-7D89
Geekbench AI Score
6039
Single Precision Score
1983
Half Precision Score
9403
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ScottWirt |
| Upload Date | November 20 2025 04:10 PM |
| Views | 5 |
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-7D89 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 CARBON WIFI (MS-7D89) |
| Power Plan | 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4847
901.5 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.9 IPS |
|
|
Image Classification (Q)
|
99% |
7412
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12406
201.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12283
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5360
6.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
34892
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4565
362.1 IPS |
|
|
Object Detection (HP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (Q)
|
86% |
8188
658.1 IPS |
|
|
Face Detection (SP)
|
100% |
13742
163.3 IPS |
|
|
Face Detection (HP)
|
100% |
2175
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
12334
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13737
105.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2782
21.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
18806
150.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27652
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13584
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28885
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4348
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2450
90.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6446
238.7 IPS |
|
|
Text Classification (SP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1656
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2680
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2876
57.8 IPS |
