Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
8588
Single Precision Score
7360
Half Precision Score
5905
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Torris |
| Upload Date | October 18 2024 06:27 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR (MS-7B89) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3578
665.3 IPS |
|
|
Image Classification (HP)
|
100% |
3474
646.1 IPS |
|
|
Image Classification (Q)
|
100% |
2754
512.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5492
89.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5097
82.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4537
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39417
46.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23676
27.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
32600
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4326
343.2 IPS |
|
|
Object Detection (HP)
|
100% |
4301
341.2 IPS |
|
|
Object Detection (Q)
|
89% |
3120
249.9 IPS |
|
|
Face Detection (SP)
|
100% |
8157
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
8262
98.2 IPS |
|
|
Face Detection (Q)
|
97% |
6323
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20363
156.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16772
129.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
14463
116.3 IPS |
|
|
Style Transfer (SP)
|
100% |
70434
90.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48374
62.2 IPS |
|
|
Style Transfer (Q)
|
98% |
56070
72.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12614
465.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10840
400.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8157
302.1 IPS |
|
|
Text Classification (SP)
|
100% |
1653
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (Q)
|
97% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2673
46.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2661
46.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1000
22.3 IPS |
