Micro-Star International Co., Ltd. MS-7B18
Geekbench AI Score
4354
Single Precision Score
4364
Half Precision Score
6892
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | FoxKyong |
| Upload Date | August 17 2024 07:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro-Star International Co., Ltd. MS-7B18 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z390 TOMAHAWK (MS-7B18) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 4.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.2 IPS |
|
|
Image Classification (Q)
|
100% |
4840
900.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3878
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
12896
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2789
221.3 IPS |
|
|
Object Detection (HP)
|
100% |
2754
218.4 IPS |
|
|
Object Detection (Q)
|
87% |
4650
372.9 IPS |
|
|
Face Detection (SP)
|
100% |
4486
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (Q)
|
97% |
12120
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7986
61.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
7980
61.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
13553
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17689
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18540
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
36396
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7479
277.0 IPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (Q)
|
91% |
1731
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (Q)
|
90% |
2776
48.2 IPS |
