Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
20352
Single Precision Score
35990
Half Precision Score
16104
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 04:21 PM |
| Views | 4 |
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 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% |
8849
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
14952
2.78 KIPS |
|
|
Image Classification (Q)
|
100% |
8127
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12763
206.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16969
275.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11933
194.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
112193
130.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
355125
414.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
107038
125.4 IPS |
|
|
Object Detection (SP)
|
100% |
10410
825.7 IPS |
|
|
Object Detection (HP)
|
100% |
17398
1.38 KIPS |
|
|
Object Detection (Q)
|
83% |
9017
728.5 IPS |
|
|
Face Detection (SP)
|
100% |
25214
299.6 IPS |
|
|
Face Detection (HP)
|
100% |
36724
436.4 IPS |
|
|
Face Detection (Q)
|
97% |
22366
266.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
51301
395.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105159
810.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
41590
332.0 IPS |
|
|
Style Transfer (SP)
|
100% |
159631
205.2 IPS |
|
|
Style Transfer (HP)
|
100% |
545396
701.1 IPS |
|
|
Style Transfer (Q)
|
98% |
144962
186.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32058
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60126
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23785
880.7 IPS |
|
|
Text Classification (SP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4558
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2295
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4030
69.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1703
31.9 IPS |
