MicroElectronics G455
Geekbench AI Score
33100
Single Precision Score
56880
Half Precision Score
25188
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 05:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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% |
13435
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
20863
3.88 KIPS |
|
|
Image Classification (Q)
|
100% |
12029
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24864
403.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36004
583.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22015
358.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
171651
200.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
682265
796.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
157385
184.4 IPS |
|
|
Object Detection (SP)
|
100% |
16894
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
26743
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
13764
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
50022
594.4 IPS |
|
|
Face Detection (HP)
|
100% |
70952
843.1 IPS |
|
|
Face Detection (Q)
|
97% |
41285
492.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
84698
652.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
145450
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64249
513.0 IPS |
|
|
Style Transfer (SP)
|
100% |
315057
405.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1010823
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
264132
340.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46876
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76269
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36234
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4803
6.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2358
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6701
115.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6769
116.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2994
56.2 IPS |
