Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
22573
Single Precision Score
36797
Half Precision Score
17702
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | June 30 2025 10:38 AM |
| Views | 6 |
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% |
9613
1.79 KIPS |
|
|
Image Classification (HP)
|
99% |
14985
2.79 KIPS |
|
|
Image Classification (Q)
|
99% |
8709
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15335
248.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20225
327.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13936
226.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
118825
138.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
360120
420.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
104622
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
11144
883.9 IPS |
|
|
Object Detection (HP)
|
100% |
18338
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
9759
785.7 IPS |
|
|
Face Detection (SP)
|
100% |
27360
325.1 IPS |
|
|
Face Detection (HP)
|
100% |
42032
499.4 IPS |
|
|
Face Detection (Q)
|
97% |
24097
287.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
55233
425.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96105
740.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
44467
356.1 IPS |
|
|
Style Transfer (SP)
|
100% |
203746
261.9 IPS |
|
|
Style Transfer (HP)
|
100% |
479067
615.8 IPS |
|
|
Style Transfer (Q)
|
98% |
184029
237.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35675
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55936
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26692
988.4 IPS |
|
|
Text Classification (SP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4425
5.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2178
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4410
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4748
81.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2128
39.9 IPS |
