Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
5895
Single Precision Score
1799
Half Precision Score
9123
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Arsenicson |
| Upload Date | December 21 2024 07:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI DDR4 (MS-7D91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4967
923.8 IPS |
|
|
Image Classification (HP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (Q)
|
99% |
7721
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4194
68.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13003
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5327
6.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
39529
46.3 IPS |
|
|
Object Detection (SP)
|
100% |
4171
330.8 IPS |
|
|
Object Detection (HP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (Q)
|
86% |
8736
702.1 IPS |
|
|
Face Detection (SP)
|
100% |
11461
136.2 IPS |
|
|
Face Detection (HP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
12965
154.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13482
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2376
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
21388
170.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27989
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13191
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24342
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4565
168.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2455
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6482
240.0 IPS |
|
|
Text Classification (SP)
|
100% |
1929
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1977
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4129
83.0 IPS |
