Micro-Star International Co., Ltd. MS-7E30
Geekbench AI Score
22376
Single Precision Score
40874
Half Precision Score
17432
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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 BOMBER WIFI (MS-7E30) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9641
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
17102
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8869
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14281
231.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19952
323.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13443
218.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
121645
141.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
379713
443.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
113835
133.3 IPS |
|
|
Object Detection (SP)
|
100% |
11664
925.2 IPS |
|
|
Object Detection (HP)
|
100% |
20678
1.64 KIPS |
|
|
Object Detection (Q)
|
83% |
10007
808.5 IPS |
|
|
Face Detection (SP)
|
100% |
28676
340.7 IPS |
|
|
Face Detection (HP)
|
100% |
45348
538.8 IPS |
|
|
Face Detection (Q)
|
97% |
24869
296.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
54683
421.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
113100
871.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
43791
349.5 IPS |
|
|
Style Transfer (SP)
|
100% |
171316
220.2 IPS |
|
|
Style Transfer (HP)
|
100% |
588181
756.1 IPS |
|
|
Style Transfer (Q)
|
98% |
148658
191.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34175
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66823
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26107
966.7 IPS |
|
|
Text Classification (SP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5092
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2423
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4733
81.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1863
34.9 IPS |
