Micro-Star International Co., Ltd. MS-7C80
Geekbench AI Score
2711
Single Precision Score
1389
Half Precision Score
4296
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | October 27 2024 06:59 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C80 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z490 TOMAHAWK (MS-7C80) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1769
329.0 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (Q)
|
99% |
4012
748.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2957
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6569
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
5182
6.05 IPS |
|
|
Pose Estimation (Q)
|
95% |
22519
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.5 IPS |
|
|
Object Detection (Q)
|
88% |
2189
175.5 IPS |
|
|
Face Detection (SP)
|
100% |
2016
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
3780
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6624
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1995
15.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6851
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10510
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9741
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15330
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2179
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2077
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3445
127.5 IPS |
|
|
Text Classification (SP)
|
100% |
1649
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1507
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1777
39.6 IPS |
