Micro-Star International Co., Ltd. MS-7D93
Geekbench AI Score
4322
Single Precision Score
1626
Half Precision Score
6040
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Mercury81 |
| Upload Date | December 26 2024 06:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D93 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PRO WIFI (MS-7D93) |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (Q)
|
99% |
6146
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2950
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7376
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4664
5.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
24298
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3182
252.4 IPS |
|
|
Object Detection (HP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (Q)
|
86% |
5676
456.2 IPS |
|
|
Face Detection (SP)
|
100% |
7975
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
9221
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9223
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2158
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
14989
119.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17120
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11765
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22533
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3153
116.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2221
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4712
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
1822
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
604
809.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2029
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2920
58.7 IPS |
