Micro-Star International Co., Ltd. MS-7D75
Geekbench AI Score
4482
Single Precision Score
1965
Half Precision Score
7574
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | vla789 |
| Upload Date | February 05 2025 04:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N for Workstations (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 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3893
724.0 IPS |
|
|
Image Classification (HP)
|
100% |
704
130.9 IPS |
|
|
Image Classification (Q)
|
99% |
8991
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3913
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8307
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
6814
7.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
27829
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
3632
288.1 IPS |
|
|
Object Detection (HP)
|
100% |
934
74.1 IPS |
|
|
Object Detection (Q)
|
86% |
8566
688.4 IPS |
|
|
Face Detection (SP)
|
100% |
6872
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
1983
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
11595
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10633
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3036
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7877
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19388
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16582
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
30368
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3107
114.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3991
147.8 IPS |
|
|
Text Classification (SP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2031
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2442
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3299
66.3 IPS |
