Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5464
Single Precision Score
1651
Half Precision Score
8249
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 01:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI DDR4 (MS-7D91) |
| 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% |
4337
806.5 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.3 IPS |
|
|
Image Classification (Q)
|
99% |
7297
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4182
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11395
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4834
5.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
33700
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
4076
323.3 IPS |
|
|
Object Detection (HP)
|
100% |
751
59.5 IPS |
|
|
Object Detection (Q)
|
86% |
7825
628.9 IPS |
|
|
Face Detection (SP)
|
100% |
10830
128.7 IPS |
|
|
Face Detection (HP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
11881
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12464
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2229
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18697
149.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24547
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12251
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25149
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5149
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1634
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3861
77.6 IPS |
