Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
20872
Single Precision Score
36827
Half Precision Score
16398
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 09:43 AM |
| Views | 2 |
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-7D90 |
| Motherboard | Micro-Star International Co., Ltd. B760M BOMBER WIFI (MS-7D90) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9104
1.69 KIPS |
|
|
Image Classification (HP)
|
100% |
15580
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
8371
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13095
212.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17358
281.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12169
197.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
113455
132.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
363985
424.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
107182
125.5 IPS |
|
|
Object Detection (SP)
|
100% |
10815
857.9 IPS |
|
|
Object Detection (HP)
|
100% |
18084
1.43 KIPS |
|
|
Object Detection (Q)
|
83% |
9367
756.8 IPS |
|
|
Face Detection (SP)
|
100% |
25853
307.2 IPS |
|
|
Face Detection (HP)
|
100% |
37648
447.3 IPS |
|
|
Face Detection (Q)
|
97% |
22734
271.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
52016
400.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
107163
825.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
41405
330.5 IPS |
|
|
Style Transfer (SP)
|
100% |
169172
217.5 IPS |
|
|
Style Transfer (HP)
|
100% |
556059
714.8 IPS |
|
|
Style Transfer (Q)
|
98% |
144209
186.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32926
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62213
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25146
931.1 IPS |
|
|
Text Classification (SP)
|
100% |
3663
4.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4470
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2311
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3910
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4132
71.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1743
32.7 IPS |
