Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
21157
Single Precision Score
34319
Half Precision Score
16652
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | August 25 2025 10:35 AM |
| 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 | 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% |
9461
1.76 KIPS |
|
|
Image Classification (HP)
|
99% |
14667
2.74 KIPS |
|
|
Image Classification (Q)
|
99% |
7643
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12966
210.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16574
268.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11821
192.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
106622
124.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
313688
366.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
102032
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
10645
844.4 IPS |
|
|
Object Detection (HP)
|
100% |
18419
1.46 KIPS |
|
|
Object Detection (Q)
|
85% |
9616
774.1 IPS |
|
|
Face Detection (SP)
|
100% |
27331
324.7 IPS |
|
|
Face Detection (HP)
|
100% |
43057
511.6 IPS |
|
|
Face Detection (Q)
|
97% |
24030
286.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
55597
428.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101354
780.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
44423
355.7 IPS |
|
|
Style Transfer (SP)
|
100% |
202948
260.9 IPS |
|
|
Style Transfer (HP)
|
100% |
482029
619.7 IPS |
|
|
Style Transfer (Q)
|
98% |
181266
233.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35434
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53120
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25985
962.2 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
3715
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2097
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1754
32.9 IPS |
