Micro-Star International Co., Ltd. MS-7C84
Geekbench AI Score
11010
Single Precision Score
27301
Half Precision Score
6766
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 02 2025 11:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
3227
600.1 IPS |
|
|
Image Classification (HP)
|
99% |
10201
1.90 KIPS |
|
|
Image Classification (Q)
|
100% |
3540
658.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
15402
249.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22698
368.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10733
174.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
30682
35.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
174278
203.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
22697
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
4475
355.0 IPS |
|
|
Object Detection (HP)
|
100% |
14227
1.13 KIPS |
|
|
Object Detection (Q)
|
85% |
3419
275.0 IPS |
|
|
Face Detection (SP)
|
100% |
13010
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
27424
325.9 IPS |
|
|
Face Detection (Q)
|
97% |
8815
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21761
167.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78896
607.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14909
119.4 IPS |
|
|
Style Transfer (SP)
|
100% |
83326
107.1 IPS |
|
|
Style Transfer (HP)
|
100% |
481391
618.8 IPS |
|
|
Style Transfer (Q)
|
98% |
48652
62.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18467
681.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32144
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
7387
273.5 IPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
99% |
2871
3.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1113
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3997
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4170
71.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1299
24.4 IPS |
