ERAZER 16 X1
Geekbench AI Score
5148
Single Precision Score
1822
Half Precision Score
7813
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 01:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ERAZER 16 X1 |
| Motherboard | ERAZER X6ARxxxY-W |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4806
893.8 IPS |
|
|
Image Classification (HP)
|
100% |
773
143.8 IPS |
|
|
Image Classification (Q)
|
99% |
9478
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4303
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14589
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7628
8.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
44310
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
3069
243.4 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
86% |
7479
601.1 IPS |
|
|
Face Detection (SP)
|
100% |
9219
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
9248
110.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10032
77.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2473
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16605
132.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20899
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13683
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21553
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4367
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
660
880.5 IPS |
|
|
Text Classification (Q)
|
97% |
1346
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3226
64.8 IPS |
