Micro-Star International Co., Ltd. MS-7D30
Geekbench AI Score
3793
Single Precision Score
1535
Half Precision Score
4470
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D30 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 FORCE WIFI (MS-7D30) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2212
411.4 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (Q)
|
99% |
3782
705.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2733
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7540
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4141
4.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
24464
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (Q)
|
88% |
2172
174.1 IPS |
|
|
Face Detection (SP)
|
100% |
4069
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
1718
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
4569
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2114
16.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
8945
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17624
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10532
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24111
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3396
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2049
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4666
172.8 IPS |
|
|
Text Classification (SP)
|
100% |
1771
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
738
985.4 IPS |
|
|
Text Classification (Q)
|
97% |
572
765.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2205
49.2 IPS |
