Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
5693
Single Precision Score
2385
Half Precision Score
10810
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BulbousSum |
| Upload Date | February 05 2026 05:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4820
896.3 IPS |
|
|
Image Classification (HP)
|
100% |
895
166.5 IPS |
|
|
Image Classification (Q)
|
99% |
9722
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11681
189.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8243
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
6863
8.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
29645
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
4503
357.2 IPS |
|
|
Object Detection (HP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (Q)
|
86% |
10025
805.7 IPS |
|
|
Face Detection (SP)
|
100% |
9397
111.7 IPS |
|
|
Face Detection (HP)
|
100% |
2275
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
12402
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11014
84.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3200
24.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
20469
163.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21325
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17012
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29589
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3821
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3427
126.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7751
287.0 IPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2132
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5205
104.6 IPS |
