ERAZER 16 X1
Geekbench AI Score
8912
Single Precision Score
9240
Half Precision Score
16165
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 09:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
5456
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
6470
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
10369
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7874
127.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4556
73.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12958
210.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14407
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13972
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30420
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
5121
406.2 IPS |
|
|
Object Detection (HP)
|
100% |
6550
519.5 IPS |
|
|
Object Detection (Q)
|
88% |
11055
886.2 IPS |
|
|
Face Detection (SP)
|
100% |
15034
178.6 IPS |
|
|
Face Detection (HP)
|
100% |
19005
225.8 IPS |
|
|
Face Detection (Q)
|
100% |
29491
350.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14031
108.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15527
119.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
29968
233.0 IPS |
|
|
Style Transfer (SP)
|
100% |
41089
52.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31679
40.7 IPS |
|
|
Style Transfer (Q)
|
98% |
90436
116.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8261
305.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8453
312.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17203
637.1 IPS |
|
|
Text Classification (SP)
|
100% |
4155
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3130
4.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5948
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6806
117.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3297
56.8 IPS |
