Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
21910
Single Precision Score
38979
Half Precision Score
16913
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 02:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A WIFI (MS-7E07) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9585
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
17017
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8594
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14183
229.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19275
312.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13088
212.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
115636
134.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
349921
408.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
109327
128.1 IPS |
|
|
Object Detection (SP)
|
100% |
11388
903.3 IPS |
|
|
Object Detection (HP)
|
100% |
19690
1.56 KIPS |
|
|
Object Detection (Q)
|
83% |
9640
778.9 IPS |
|
|
Face Detection (SP)
|
100% |
27304
324.4 IPS |
|
|
Face Detection (HP)
|
100% |
41433
492.3 IPS |
|
|
Face Detection (Q)
|
97% |
23603
281.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
53121
409.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
108860
838.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
43785
349.5 IPS |
|
|
Style Transfer (SP)
|
100% |
173946
223.6 IPS |
|
|
Style Transfer (HP)
|
100% |
561684
722.1 IPS |
|
|
Style Transfer (Q)
|
98% |
148570
191.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33615
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63086
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26315
974.4 IPS |
|
|
Text Classification (SP)
|
100% |
3885
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4788
6.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2346
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4682
80.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1705
32.0 IPS |
