Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5412
Single Precision Score
1957
Half Precision Score
5839
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 12:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE (MS-7D86) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4540
844.2 IPS |
|
|
Image Classification (HP)
|
100% |
741
137.9 IPS |
|
|
Image Classification (Q)
|
96% |
4888
912.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
6477
105.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8939
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5213
6.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
16480
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
3991
316.6 IPS |
|
|
Object Detection (HP)
|
100% |
985
78.2 IPS |
|
|
Object Detection (Q)
|
58% |
3775
412.4 IPS |
|
|
Face Detection (SP)
|
100% |
11657
138.5 IPS |
|
|
Face Detection (HP)
|
100% |
2062
24.5 IPS |
|
|
Face Detection (Q)
|
96% |
9566
114.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11385
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2597
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13288
106.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21363
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13237
17.0 IPS |
|
|
Style Transfer (Q)
|
87% |
21517
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3610
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2470
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5291
196.1 IPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
632
847.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2705
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2561
49.5 IPS |
