Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
18286
Single Precision Score
32768
Half Precision Score
14183
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 09:46 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7962
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
14549
2.71 KIPS |
|
|
Image Classification (Q)
|
99% |
7083
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11600
188.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15724
254.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10626
172.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
92740
108.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
286224
334.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
78199
91.6 IPS |
|
|
Object Detection (SP)
|
100% |
9788
776.4 IPS |
|
|
Object Detection (HP)
|
100% |
15802
1.25 KIPS |
|
|
Object Detection (Q)
|
83% |
8411
679.6 IPS |
|
|
Face Detection (SP)
|
100% |
22852
271.5 IPS |
|
|
Face Detection (HP)
|
100% |
35234
418.7 IPS |
|
|
Face Detection (Q)
|
97% |
19971
238.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44149
340.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
91992
708.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36918
295.2 IPS |
|
|
Style Transfer (SP)
|
100% |
143108
184.0 IPS |
|
|
Style Transfer (HP)
|
100% |
481519
619.0 IPS |
|
|
Style Transfer (Q)
|
98% |
122004
157.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26923
994.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52556
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20908
774.2 IPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4326
5.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2159
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3657
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1639
30.7 IPS |
