Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
4674
Single Precision Score
4784
Half Precision Score
13247
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Deimorin |
| Upload Date | July 17 2025 11:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| 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% |
2776
516.3 IPS |
|
|
Image Classification (HP)
|
100% |
3153
586.4 IPS |
|
|
Image Classification (Q)
|
100% |
9218
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4403
71.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4297
69.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9834
159.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7795
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4395
5.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
29112
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (Q)
|
88% |
9206
738.0 IPS |
|
|
Face Detection (SP)
|
100% |
9374
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
8133
96.6 IPS |
|
|
Face Detection (Q)
|
100% |
21619
256.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8133
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7964
61.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
23225
180.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24500
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24165
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
85823
110.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4288
158.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4157
153.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15603
577.8 IPS |
|
|
Text Classification (SP)
|
100% |
2620
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2849
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
5317
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2123
36.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1917
33.0 IPS |
