Acer Predator PH18-73
Geekbench AI Score
2665
Single Precision Score
2647
Half Precision Score
2136
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | kyec23gb2 |
| Upload Date | April 03 2026 04:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.4 LTS |
| Model | Acer Predator PH18-73 |
| Motherboard | ARL Vantage_ARX |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 275HX |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2216
412.1 IPS |
|
|
Image Classification (HP)
|
100% |
2304
428.5 IPS |
|
|
Image Classification (Q)
|
99% |
1716
320.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3038
49.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1642
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2997
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3017
3.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
4445
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (Q)
|
86% |
1525
122.6 IPS |
|
|
Face Detection (SP)
|
100% |
3432
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
2470
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3268
25.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
3295
25.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
3198
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3728
4.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3595
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
7245
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2174
80.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2292
84.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2231
82.7 IPS |
|
|
Text Classification (SP)
|
100% |
1979
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2034
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (Q)
|
58% |
773
18.2 IPS |
