MicroElectronics G455
Geekbench AI Score
32757
Single Precision Score
56488
Half Precision Score
25103
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 05:14 AM |
| Views | 4 |
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% |
13203
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
20884
3.88 KIPS |
|
|
Image Classification (Q)
|
100% |
11822
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24833
402.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
36026
584.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22134
359.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
169703
198.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
670102
781.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
157198
184.1 IPS |
|
|
Object Detection (SP)
|
100% |
16501
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
26121
2.07 KIPS |
|
|
Object Detection (Q)
|
86% |
13959
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
49233
585.0 IPS |
|
|
Face Detection (HP)
|
100% |
68944
819.2 IPS |
|
|
Face Detection (Q)
|
97% |
40872
487.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
84917
654.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
148460
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63301
505.5 IPS |
|
|
Style Transfer (SP)
|
100% |
316195
406.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1018886
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
263778
340.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46935
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76086
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35638
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4840
6.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2382
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6629
114.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6541
112.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2988
56.0 IPS |
