Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
18119
Single Precision Score
30566
Half Precision Score
14327
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bsmit512 |
| Upload Date | February 02 2025 11:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7431
1.38 KIPS |
|
|
Image Classification (HP)
|
99% |
13263
2.47 KIPS |
|
|
Image Classification (Q)
|
99% |
6692
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12118
196.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16485
267.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11363
184.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
88694
103.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
239699
279.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
78428
91.9 IPS |
|
|
Object Detection (SP)
|
100% |
9193
729.2 IPS |
|
|
Object Detection (HP)
|
100% |
15850
1.26 KIPS |
|
|
Object Detection (Q)
|
84% |
8119
654.9 IPS |
|
|
Face Detection (SP)
|
100% |
21693
257.8 IPS |
|
|
Face Detection (HP)
|
100% |
34854
414.1 IPS |
|
|
Face Detection (Q)
|
97% |
19463
232.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
40633
313.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
83702
644.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
33702
269.6 IPS |
|
|
Style Transfer (SP)
|
100% |
147349
189.4 IPS |
|
|
Style Transfer (HP)
|
100% |
366670
471.4 IPS |
|
|
Style Transfer (Q)
|
98% |
131059
169.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29916
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49088
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21902
811.0 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
4030
5.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3839
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1895
35.6 IPS |
