Micro-Star International Co., Ltd. MS-7B18
Geekbench AI Score
12324
Single Precision Score
19716
Half Precision Score
8275
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | FoxKyong |
| Upload Date | August 17 2024 08:14 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B18 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z390 TOMAHAWK (MS-7B18) |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4798
892.3 IPS |
|
|
Image Classification (HP)
|
100% |
8063
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
3425
637.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8013
129.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10374
168.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6627
107.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
66222
77.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
189783
221.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
55279
64.7 IPS |
|
|
Object Detection (SP)
|
100% |
5914
469.1 IPS |
|
|
Object Detection (HP)
|
100% |
9459
750.3 IPS |
|
|
Object Detection (Q)
|
89% |
4628
370.4 IPS |
|
|
Face Detection (SP)
|
100% |
14174
168.4 IPS |
|
|
Face Detection (HP)
|
100% |
20311
241.3 IPS |
|
|
Face Detection (Q)
|
97% |
10627
126.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31851
245.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56452
434.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
21269
170.8 IPS |
|
|
Style Transfer (SP)
|
100% |
110175
141.6 IPS |
|
|
Style Transfer (HP)
|
100% |
250144
321.6 IPS |
|
|
Style Transfer (Q)
|
98% |
90488
116.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22137
817.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28557
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13242
490.3 IPS |
|
|
Text Classification (SP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
2695
3.60 KIPS |
|
|
Text Classification (Q)
|
97% |
943
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2617
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2678
46.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1016
22.7 IPS |
