Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
20206
Single Precision Score
36122
Half Precision Score
15770
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:45 AM |
| 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. B760M GAMING PLUS WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| 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% |
8734
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
15003
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
8031
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12542
203.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16734
271.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11729
190.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
112487
131.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
353858
412.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
101447
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
10415
826.1 IPS |
|
|
Object Detection (HP)
|
100% |
17308
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
8936
722.0 IPS |
|
|
Face Detection (SP)
|
100% |
24519
291.3 IPS |
|
|
Face Detection (HP)
|
100% |
37173
441.7 IPS |
|
|
Face Detection (Q)
|
97% |
22196
264.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
49447
381.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105303
811.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
41495
331.2 IPS |
|
|
Style Transfer (SP)
|
100% |
158058
203.2 IPS |
|
|
Style Transfer (HP)
|
100% |
543320
698.4 IPS |
|
|
Style Transfer (Q)
|
98% |
134519
173.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32004
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60016
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24405
903.7 IPS |
|
|
Text Classification (SP)
|
100% |
3811
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4709
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2249
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4093
70.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1639
30.7 IPS |
