Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
16361
Single Precision Score
26837
Half Precision Score
12752
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 01:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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 i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6862
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
11505
2.15 KIPS |
|
|
Image Classification (Q)
|
99% |
5971
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10366
168.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13850
224.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9726
158.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
81478
95.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
220086
256.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
73556
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
7691
610.0 IPS |
|
|
Object Detection (HP)
|
100% |
13695
1.09 KIPS |
|
|
Object Detection (Q)
|
84% |
7348
592.7 IPS |
|
|
Face Detection (SP)
|
100% |
19598
232.9 IPS |
|
|
Face Detection (HP)
|
100% |
30278
359.8 IPS |
|
|
Face Detection (Q)
|
97% |
17213
205.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
40833
314.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
73579
566.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
30795
246.4 IPS |
|
|
Style Transfer (SP)
|
100% |
134039
172.3 IPS |
|
|
Style Transfer (HP)
|
100% |
329048
423.0 IPS |
|
|
Style Transfer (Q)
|
98% |
116423
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26617
982.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41416
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19800
733.2 IPS |
|
|
Text Classification (SP)
|
100% |
3323
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1830
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1621
30.4 IPS |
