Micro-Star International Co., Ltd. MS-7B89
Geekbench AI Score
18821
Single Precision Score
29169
Half Precision Score
12290
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 07:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B89 |
| Motherboard | Micro-Star International Co., Ltd. B450M MORTAR (MS-7B89) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.75 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7835
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
10902
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
5477
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12274
199.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16041
260.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9401
152.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
104810
122.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
308621
360.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
84503
99.0 IPS |
|
|
Object Detection (SP)
|
100% |
9719
770.9 IPS |
|
|
Object Detection (HP)
|
100% |
13836
1.10 KIPS |
|
|
Object Detection (Q)
|
85% |
7037
566.5 IPS |
|
|
Face Detection (SP)
|
100% |
24170
287.2 IPS |
|
|
Face Detection (HP)
|
100% |
35366
420.2 IPS |
|
|
Face Detection (Q)
|
97% |
17828
212.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
50712
390.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
80166
617.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
31379
251.4 IPS |
|
|
Style Transfer (SP)
|
100% |
198209
254.8 IPS |
|
|
Style Transfer (HP)
|
100% |
442720
569.1 IPS |
|
|
Style Transfer (Q)
|
98% |
152930
197.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31891
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41295
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17398
644.2 IPS |
|
|
Text Classification (SP)
|
100% |
2016
2.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3172
4.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1189
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1452
27.2 IPS |
