MicroElectronics G455
Geekbench AI Score
6732
Single Precision Score
2245
Half Precision Score
3479
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 05:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
4331
805.5 IPS |
|
|
Image Classification (HP)
|
100% |
1517
282.0 IPS |
|
|
Image Classification (Q)
|
100% |
2226
414.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5501
89.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8130
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
7216
8.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
15770
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3637
288.5 IPS |
|
|
Object Detection (HP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (Q)
|
87% |
2239
179.7 IPS |
|
|
Face Detection (SP)
|
100% |
12311
146.3 IPS |
|
|
Face Detection (HP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
7290
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9985
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4458
34.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
8274
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23349
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12443
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22712
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4800
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3064
113.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5228
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
530
707.5 IPS |
|
|
Text Classification (Q)
|
92% |
521
700.3 IPS |
|
|
Machine Translation (SP)
|
100% |
5041
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1067
18.4 IPS |
