Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
20782
Single Precision Score
36641
Half Precision Score
16281
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 06:38 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. PRO B760M-A 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% |
8997
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
16050
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
8346
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12471
202.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16179
262.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11340
184.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
113975
133.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
346848
404.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
105555
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
10790
855.9 IPS |
|
|
Object Detection (HP)
|
100% |
18127
1.44 KIPS |
|
|
Object Detection (Q)
|
83% |
9201
743.4 IPS |
|
|
Face Detection (SP)
|
100% |
25489
302.9 IPS |
|
|
Face Detection (HP)
|
100% |
37295
443.1 IPS |
|
|
Face Detection (Q)
|
97% |
22533
268.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
52524
404.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
108231
833.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
42550
339.6 IPS |
|
|
Style Transfer (SP)
|
100% |
167779
215.7 IPS |
|
|
Style Transfer (HP)
|
100% |
557102
716.2 IPS |
|
|
Style Transfer (Q)
|
98% |
144432
186.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32995
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63202
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25182
932.5 IPS |
|
|
Text Classification (SP)
|
100% |
3893
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4893
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2352
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1736
32.6 IPS |
