Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
20678
Single Precision Score
36685
Half Precision Score
16168
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 10:05 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-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8997
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
15782
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
8289
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12723
206.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16958
274.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11842
192.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
114508
133.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
348214
406.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
105966
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
10652
844.9 IPS |
|
|
Object Detection (HP)
|
100% |
17982
1.43 KIPS |
|
|
Object Detection (Q)
|
83% |
9150
739.2 IPS |
|
|
Face Detection (SP)
|
100% |
25421
302.1 IPS |
|
|
Face Detection (HP)
|
100% |
37463
445.1 IPS |
|
|
Face Detection (Q)
|
97% |
22219
264.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
51388
395.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105272
811.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
41550
331.6 IPS |
|
|
Style Transfer (SP)
|
100% |
163628
210.3 IPS |
|
|
Style Transfer (HP)
|
100% |
544907
700.5 IPS |
|
|
Style Transfer (Q)
|
98% |
144012
185.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32238
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61566
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24462
905.8 IPS |
|
|
Text Classification (SP)
|
100% |
3899
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4866
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2308
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4092
70.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1709
32.1 IPS |
