Micro-Star International Co., Ltd. MS-7D78
Geekbench AI Score
23839
Single Precision Score
35745
Half Precision Score
13992
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 04:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D78 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-P WIFI (MS-7D78) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9270
1.72 KIPS |
|
|
Image Classification (HP)
|
99% |
12961
2.42 KIPS |
|
|
Image Classification (Q)
|
100% |
5951
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16143
261.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22297
361.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11809
192.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
165938
193.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
352600
411.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
126200
147.8 IPS |
|
|
Object Detection (SP)
|
100% |
12144
963.3 IPS |
|
|
Object Detection (HP)
|
100% |
17114
1.36 KIPS |
|
|
Object Detection (Q)
|
89% |
7594
607.9 IPS |
|
|
Face Detection (SP)
|
100% |
30406
361.3 IPS |
|
|
Face Detection (HP)
|
100% |
42760
508.1 IPS |
|
|
Face Detection (Q)
|
97% |
18913
225.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
55142
424.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95073
732.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
32723
263.4 IPS |
|
|
Style Transfer (SP)
|
100% |
258639
332.5 IPS |
|
|
Style Transfer (HP)
|
100% |
619031
795.8 IPS |
|
|
Style Transfer (Q)
|
98% |
184890
238.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38151
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52140
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20911
774.3 IPS |
|
|
Text Classification (SP)
|
100% |
2864
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3644
4.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1410
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4085
70.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1266
28.2 IPS |
