Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
6557
Single Precision Score
6585
Half Precision Score
15381
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Arsenicson |
| Upload Date | December 21 2024 08:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
3951
734.8 IPS |
|
|
Image Classification (HP)
|
100% |
4120
766.2 IPS |
|
|
Image Classification (Q)
|
100% |
9513
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5561
90.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5263
85.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10650
172.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11335
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11402
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
34675
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3144
249.4 IPS |
|
|
Object Detection (HP)
|
100% |
3297
261.5 IPS |
|
|
Object Detection (Q)
|
88% |
10334
828.4 IPS |
|
|
Face Detection (SP)
|
100% |
10206
121.3 IPS |
|
|
Face Detection (HP)
|
100% |
10176
120.9 IPS |
|
|
Face Detection (Q)
|
100% |
25117
298.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10792
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10773
83.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
29006
225.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36840
47.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36879
47.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95861
123.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5699
210.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17708
655.8 IPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (Q)
|
92% |
6001
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2790
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2751
47.4 IPS |
