Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
17901
Single Precision Score
31993
Half Precision Score
13882
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 08:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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% |
7639
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
13891
2.58 KIPS |
|
|
Image Classification (Q)
|
99% |
6793
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11399
184.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16167
262.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10707
174.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
89259
104.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
270889
316.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
77021
90.2 IPS |
|
|
Object Detection (SP)
|
100% |
9638
764.5 IPS |
|
|
Object Detection (HP)
|
100% |
15397
1.22 KIPS |
|
|
Object Detection (Q)
|
83% |
8319
672.1 IPS |
|
|
Face Detection (SP)
|
100% |
22583
268.3 IPS |
|
|
Face Detection (HP)
|
100% |
34474
409.6 IPS |
|
|
Face Detection (Q)
|
97% |
19714
235.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
46126
355.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
90376
696.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
36304
290.3 IPS |
|
|
Style Transfer (SP)
|
100% |
140181
180.2 IPS |
|
|
Style Transfer (HP)
|
100% |
470314
604.6 IPS |
|
|
Style Transfer (Q)
|
98% |
116803
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25769
951.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50356
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20001
740.6 IPS |
|
|
Text Classification (SP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4135
5.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2064
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1653
31.0 IPS |
