Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
18775
Single Precision Score
33164
Half Precision Score
14628
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 09:17 AM |
| Views | 3 |
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-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% |
7814
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
14146
2.63 KIPS |
|
|
Image Classification (Q)
|
99% |
7058
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11861
192.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16274
263.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11040
179.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
98360
114.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
295174
344.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
79941
93.6 IPS |
|
|
Object Detection (SP)
|
100% |
10111
802.0 IPS |
|
|
Object Detection (HP)
|
100% |
15927
1.26 KIPS |
|
|
Object Detection (Q)
|
83% |
8880
717.4 IPS |
|
|
Face Detection (SP)
|
100% |
23251
276.3 IPS |
|
|
Face Detection (HP)
|
100% |
35114
417.2 IPS |
|
|
Face Detection (Q)
|
97% |
20648
246.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
47406
365.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99451
766.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
38291
306.1 IPS |
|
|
Style Transfer (SP)
|
100% |
151364
194.6 IPS |
|
|
Style Transfer (HP)
|
100% |
502405
645.8 IPS |
|
|
Style Transfer (Q)
|
98% |
126712
163.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28135
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52851
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21815
807.8 IPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4116
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2202
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1686
31.6 IPS |
