Micro-Star International Co., Ltd. MS-7C84
Geekbench AI Score
2160
Single Precision Score
985
Half Precision Score
2486
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 02 2025 11:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C84 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570 TOMAHAWK WIFI (MS-7C84) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1654
307.6 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
96% |
2100
392.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
2444
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3901
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3076
3.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
3771
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
58% |
1355
148.1 IPS |
|
|
Face Detection (SP)
|
100% |
3647
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
965
11.5 IPS |
|
|
Face Detection (Q)
|
96% |
4334
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4716
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1383
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
4525
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9097
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7198
9.25 IPS |
|
|
Style Transfer (Q)
|
87% |
8276
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1380
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1721
63.8 IPS |
|
|
Text Classification (SP)
|
100% |
989
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
472
630.4 IPS |
|
|
Text Classification (Q)
|
97% |
722
967.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1706
33.0 IPS |
