Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
18354
Single Precision Score
32756
Half Precision Score
14363
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 06:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E30 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING WIFI (MS-7E30) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7881
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
14164
2.63 KIPS |
|
|
Image Classification (Q)
|
99% |
7010
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11307
183.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15527
251.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10418
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
96938
113.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
296556
346.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
81358
95.3 IPS |
|
|
Object Detection (SP)
|
100% |
10193
808.6 IPS |
|
|
Object Detection (HP)
|
100% |
16424
1.30 KIPS |
|
|
Object Detection (Q)
|
83% |
8823
712.8 IPS |
|
|
Face Detection (SP)
|
100% |
24161
287.1 IPS |
|
|
Face Detection (HP)
|
100% |
38669
459.5 IPS |
|
|
Face Detection (Q)
|
97% |
21229
253.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
47700
367.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96193
741.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38195
305.4 IPS |
|
|
Style Transfer (SP)
|
100% |
147090
189.1 IPS |
|
|
Style Transfer (HP)
|
100% |
497874
640.0 IPS |
|
|
Style Transfer (Q)
|
98% |
124656
160.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26872
992.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51296
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20909
774.2 IPS |
|
|
Text Classification (SP)
|
100% |
3068
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2005
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1683
31.6 IPS |
