ERAZER 16 X1
Geekbench AI Score
5940
Single Precision Score
2059
Half Precision Score
8980
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 02:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ERAZER 16 X1 |
| Motherboard | ERAZER X6ARxxxY-W |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255HX |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4944
919.4 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.9 IPS |
|
|
Image Classification (Q)
|
99% |
9331
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2656
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3878
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12454
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7133
8.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
35584
41.7 IPS |
|
|
Object Detection (SP)
|
100% |
4095
324.8 IPS |
|
|
Object Detection (HP)
|
100% |
795
63.0 IPS |
|
|
Object Detection (Q)
|
86% |
9669
777.1 IPS |
|
|
Face Detection (SP)
|
100% |
12135
144.2 IPS |
|
|
Face Detection (HP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
12288
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12811
98.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3067
23.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20480
163.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25977
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16748
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29125
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2729
100.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5406
200.2 IPS |
|
|
Text Classification (SP)
|
100% |
1934
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1602
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2837
48.9 IPS |
|
|
Machine Translation (HP)
|
100% |
843
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4317
86.7 IPS |
