Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
22397
Single Precision Score
36354
Half Precision Score
17610
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | June 21 2025 10:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE MAX (MS-7D86) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9559
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
14616
2.73 KIPS |
|
|
Image Classification (Q)
|
99% |
8466
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15184
246.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20095
325.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13897
226.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
118079
137.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
354961
414.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
103937
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
10994
872.0 IPS |
|
|
Object Detection (HP)
|
100% |
17941
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
9639
776.0 IPS |
|
|
Face Detection (SP)
|
100% |
27086
321.8 IPS |
|
|
Face Detection (HP)
|
100% |
41596
494.3 IPS |
|
|
Face Detection (Q)
|
97% |
24231
288.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
54914
423.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
96861
746.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
44681
357.8 IPS |
|
|
Style Transfer (SP)
|
100% |
206887
266.0 IPS |
|
|
Style Transfer (HP)
|
100% |
478807
615.5 IPS |
|
|
Style Transfer (Q)
|
98% |
184530
237.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35519
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55311
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26559
983.5 IPS |
|
|
Text Classification (SP)
|
100% |
3570
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4337
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2201
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4320
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4659
80.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2084
39.1 IPS |
