Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
5365
Single Precision Score
5405
Half Precision Score
16132
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 03:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700F 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3892
723.8 IPS |
|
|
Image Classification (HP)
|
100% |
3818
710.0 IPS |
|
|
Image Classification (Q)
|
100% |
10672
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7840
127.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7940
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
8102
9.45 IPS |
|
|
Pose Estimation (Q)
|
98% |
31526
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
3344
265.2 IPS |
|
|
Object Detection (HP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (Q)
|
88% |
11011
882.7 IPS |
|
|
Face Detection (SP)
|
100% |
5514
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
5726
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
26108
310.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9362
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9672
74.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
28538
222.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20444
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20889
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
85479
110.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4662
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4624
170.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16319
604.3 IPS |
|
|
Text Classification (SP)
|
100% |
3793
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
92% |
5761
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4990
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4875
84.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6867
118.3 IPS |
