MicroElectronics G455
Geekbench AI Score
6163
Single Precision Score
4743
Half Precision Score
15857
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 05:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MicroElectronics G455 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3938
732.4 IPS |
|
|
Image Classification (HP)
|
100% |
2993
556.6 IPS |
|
|
Image Classification (Q)
|
100% |
10543
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5483
88.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11587
187.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4909
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
5406
6.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
20374
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
3742
296.8 IPS |
|
|
Object Detection (HP)
|
100% |
3075
243.9 IPS |
|
|
Object Detection (Q)
|
88% |
10991
881.1 IPS |
|
|
Face Detection (SP)
|
100% |
10844
128.9 IPS |
|
|
Face Detection (HP)
|
100% |
9882
117.4 IPS |
|
|
Face Detection (Q)
|
100% |
29305
348.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8270
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7299
56.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
28216
219.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23626
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15535
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84989
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4856
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3429
126.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17434
645.7 IPS |
|
|
Text Classification (SP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2643
3.53 KIPS |
|
|
Text Classification (Q)
|
92% |
5933
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4914
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4774
82.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5056
87.1 IPS |
