Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
20213
Single Precision Score
36142
Half Precision Score
15854
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 01:33 PM |
| 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-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8799
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
15148
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
8017
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12401
201.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16600
269.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11489
186.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
111377
130.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
349888
408.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
101804
119.2 IPS |
|
|
Object Detection (SP)
|
100% |
10300
817.0 IPS |
|
|
Object Detection (HP)
|
100% |
17553
1.39 KIPS |
|
|
Object Detection (Q)
|
83% |
9102
735.4 IPS |
|
|
Face Detection (SP)
|
100% |
24852
295.3 IPS |
|
|
Face Detection (HP)
|
100% |
36906
438.5 IPS |
|
|
Face Detection (Q)
|
97% |
22165
264.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
50774
391.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109176
841.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
40099
320.1 IPS |
|
|
Style Transfer (SP)
|
100% |
158894
204.3 IPS |
|
|
Style Transfer (HP)
|
100% |
542475
697.4 IPS |
|
|
Style Transfer (Q)
|
98% |
137914
177.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32237
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60959
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24318
900.5 IPS |
|
|
Text Classification (SP)
|
100% |
3784
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4636
6.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2282
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3987
68.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1729
32.4 IPS |
