Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
6629
Single Precision Score
6618
Half Precision Score
15602
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | September 21 2024 02:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| Power Plan | Adamx's Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4377
813.9 IPS |
|
|
Image Classification (HP)
|
100% |
4480
833.1 IPS |
|
|
Image Classification (Q)
|
100% |
9648
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4958
80.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4901
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9095
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9042
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9071
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
33126
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
4264
338.2 IPS |
|
|
Object Detection (HP)
|
100% |
4280
339.5 IPS |
|
|
Object Detection (Q)
|
88% |
9867
791.0 IPS |
|
|
Face Detection (SP)
|
100% |
13324
158.3 IPS |
|
|
Face Detection (HP)
|
100% |
13321
158.3 IPS |
|
|
Face Detection (Q)
|
100% |
26189
311.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11469
88.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
11468
88.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
26957
213.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26874
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26743
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
89319
115.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5443
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5442
201.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16434
608.6 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1659
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
4606
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5148
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5133
88.4 IPS |
|
|
Machine Translation (Q)
|
85% |
6244
109.2 IPS |
