Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
20337
Single Precision Score
35636
Half Precision Score
16061
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 06:32 AM |
| Views | 5 |
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% |
8812
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
14829
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
8084
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12323
199.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16483
267.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11543
187.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
115174
134.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
347216
405.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
105367
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
10524
834.7 IPS |
|
|
Object Detection (HP)
|
100% |
17304
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
9123
737.1 IPS |
|
|
Face Detection (SP)
|
100% |
24708
293.6 IPS |
|
|
Face Detection (HP)
|
100% |
36137
429.4 IPS |
|
|
Face Detection (Q)
|
97% |
22118
263.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
52057
401.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104311
803.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
41835
333.9 IPS |
|
|
Style Transfer (SP)
|
100% |
161550
207.7 IPS |
|
|
Style Transfer (HP)
|
100% |
540714
695.1 IPS |
|
|
Style Transfer (Q)
|
98% |
141574
182.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31930
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59945
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24632
912.1 IPS |
|
|
Text Classification (SP)
|
100% |
3762
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4672
6.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2287
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1726
32.4 IPS |
