Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
17203
Single Precision Score
27202
Half Precision Score
13541
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | August 02 2025 11:45 AM |
| Views | 3 |
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% |
8712
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
13559
2.53 KIPS |
|
|
Image Classification (Q)
|
99% |
6787
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13239
214.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19315
313.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12745
207.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
98451
114.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
337616
393.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
86923
101.8 IPS |
|
|
Object Detection (SP)
|
100% |
9714
770.5 IPS |
|
|
Object Detection (HP)
|
100% |
15969
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
8240
663.3 IPS |
|
|
Face Detection (SP)
|
100% |
18604
221.1 IPS |
|
|
Face Detection (HP)
|
100% |
24950
296.5 IPS |
|
|
Face Detection (Q)
|
97% |
16702
199.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
40970
315.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77280
595.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
40283
322.5 IPS |
|
|
Style Transfer (SP)
|
100% |
162184
208.5 IPS |
|
|
Style Transfer (HP)
|
100% |
380554
489.2 IPS |
|
|
Style Transfer (Q)
|
98% |
166523
214.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32354
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42214
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19686
729.0 IPS |
|
|
Text Classification (SP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (HP)
|
99% |
1809
2.41 KIPS |
|
|
Text Classification (Q)
|
97% |
954
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2807
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1590
29.8 IPS |
