Acer Predator PHN18-71
Geekbench AI Score
20177
Single Precision Score
33535
Half Precision Score
15470
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jonwienke |
| Upload Date | June 22 2025 11:16 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Predator PHN18-71 |
| Motherboard | RPL IPACE_RTX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8068
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
13389
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
7271
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14324
232.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18962
307.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12715
206.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
102212
119.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
284559
332.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
90619
106.2 IPS |
|
|
Object Detection (SP)
|
100% |
10157
805.7 IPS |
|
|
Object Detection (HP)
|
100% |
17266
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
8879
714.8 IPS |
|
|
Face Detection (SP)
|
100% |
25118
298.5 IPS |
|
|
Face Detection (HP)
|
100% |
41481
492.9 IPS |
|
|
Face Detection (Q)
|
97% |
22245
265.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
45730
352.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85888
661.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
37584
300.4 IPS |
|
|
Style Transfer (SP)
|
100% |
178099
228.9 IPS |
|
|
Style Transfer (HP)
|
100% |
435639
560.0 IPS |
|
|
Style Transfer (Q)
|
98% |
156958
202.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34691
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53122
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25478
943.4 IPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4138
5.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1748
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3987
68.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4228
73.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1807
33.9 IPS |
