Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
20546
Single Precision Score
32112
Half Precision Score
16089
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | August 01 2025 05:18 PM |
| Views | 5 |
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 | Ausbalanciert |
| 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% |
8170
1.52 KIPS |
|
|
Image Classification (HP)
|
99% |
11915
2.22 KIPS |
|
|
Image Classification (Q)
|
99% |
7275
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14716
238.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19322
313.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13609
221.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
113944
133.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
342386
399.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
98689
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
9898
785.1 IPS |
|
|
Object Detection (HP)
|
100% |
16545
1.31 KIPS |
|
|
Object Detection (Q)
|
85% |
8812
709.4 IPS |
|
|
Face Detection (SP)
|
100% |
25837
307.0 IPS |
|
|
Face Detection (HP)
|
100% |
39065
464.2 IPS |
|
|
Face Detection (Q)
|
97% |
22255
265.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
51310
395.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
92051
709.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
41926
335.7 IPS |
|
|
Style Transfer (SP)
|
100% |
197896
254.4 IPS |
|
|
Style Transfer (HP)
|
100% |
458334
589.2 IPS |
|
|
Style Transfer (Q)
|
98% |
175163
225.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31962
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47189
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23971
887.6 IPS |
|
|
Text Classification (SP)
|
100% |
2873
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2621
3.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1832
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4104
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4387
75.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1881
35.3 IPS |
