Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
18153
Single Precision Score
32577
Half Precision Score
14345
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 06:43 AM |
| Views | 2 |
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 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8056
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
14376
2.67 KIPS |
|
|
Image Classification (Q)
|
99% |
7110
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10810
175.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14522
235.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10073
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
96423
112.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
291415
340.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
81029
94.9 IPS |
|
|
Object Detection (SP)
|
100% |
9949
789.2 IPS |
|
|
Object Detection (HP)
|
100% |
16062
1.27 KIPS |
|
|
Object Detection (Q)
|
83% |
8617
696.2 IPS |
|
|
Face Detection (SP)
|
100% |
21920
260.5 IPS |
|
|
Face Detection (HP)
|
100% |
33229
394.8 IPS |
|
|
Face Detection (Q)
|
97% |
20005
238.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
45878
353.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98790
761.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
37985
303.7 IPS |
|
|
Style Transfer (SP)
|
100% |
144513
185.8 IPS |
|
|
Style Transfer (HP)
|
100% |
499219
641.8 IPS |
|
|
Style Transfer (Q)
|
98% |
122794
158.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27015
997.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53624
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21438
793.8 IPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4368
5.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2240
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3590
61.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1647
30.9 IPS |
