Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
4686
Single Precision Score
4579
Half Precision Score
11340
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | December 15 2024 06:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI DDR4 (MS-7D96) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3454
642.3 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.8 IPS |
|
|
Image Classification (Q)
|
100% |
7354
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3684
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6593
106.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
6491
7.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
24156
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3137
248.8 IPS |
|
|
Object Detection (HP)
|
100% |
3191
253.1 IPS |
|
|
Object Detection (Q)
|
88% |
4945
396.4 IPS |
|
|
Face Detection (SP)
|
100% |
5136
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
5338
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
18680
222.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5168
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5053
38.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
20577
160.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19329
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19204
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
64311
82.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4013
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4118
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12599
466.6 IPS |
|
|
Text Classification (SP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
4426
5.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4446
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4425
76.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4405
75.9 IPS |
