Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
16187
Single Precision Score
25583
Half Precision Score
13120
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 07 2025 04:22 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-7D14 |
| Motherboard | Micro-Star International Co., Ltd. A520M PRO (MS-7D14) |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6672
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
10785
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
6035
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10147
164.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12893
209.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9315
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
87897
102.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
234659
273.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
76518
89.7 IPS |
|
|
Object Detection (SP)
|
100% |
8020
636.2 IPS |
|
|
Object Detection (HP)
|
100% |
12633
1.00 KIPS |
|
|
Object Detection (Q)
|
84% |
7145
576.3 IPS |
|
|
Face Detection (SP)
|
100% |
18823
223.7 IPS |
|
|
Face Detection (HP)
|
100% |
27664
328.7 IPS |
|
|
Face Detection (Q)
|
97% |
17051
203.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
41856
322.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75508
581.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
34853
278.8 IPS |
|
|
Style Transfer (SP)
|
100% |
141080
181.4 IPS |
|
|
Style Transfer (HP)
|
100% |
325933
419.0 IPS |
|
|
Style Transfer (Q)
|
98% |
126442
163.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26900
993.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41706
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21013
778.1 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3166
4.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1840
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1693
31.8 IPS |
