Micro-Star International Co., Ltd. MS-7D76
Geekbench AI Score
3800
Single Precision Score
1675
Half Precision Score
6135
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Gudji |
| Upload Date | October 04 2024 02:20 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D76 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650M MORTAR WIFI (MS-7D76) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1704
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.7 IPS |
|
|
Image Classification (Q)
|
99% |
4865
907.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3960
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8056
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
6610
7.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
35426
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.7 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (Q)
|
88% |
2211
177.3 IPS |
|
|
Face Detection (SP)
|
100% |
3837
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
5920
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8073
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2536
19.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
10682
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25692
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17919
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38738
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2326
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2181
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4062
150.4 IPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
744
993.6 IPS |
|
|
Text Classification (Q)
|
97% |
1442
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2832
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3492
77.9 IPS |
