Acer Predator PHN18-71
Geekbench AI Score
21247
Single Precision Score
34150
Half Precision Score
15950
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jonwienke |
| Upload Date | June 22 2025 11:20 AM |
| Views | 8 |
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% |
8622
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
14365
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
7764
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14860
240.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19547
316.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13414
218.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
126823
148.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
324865
379.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
108177
126.7 IPS |
|
|
Object Detection (SP)
|
100% |
10195
808.7 IPS |
|
|
Object Detection (HP)
|
100% |
16346
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
8677
698.5 IPS |
|
|
Face Detection (SP)
|
100% |
26384
313.5 IPS |
|
|
Face Detection (HP)
|
100% |
42150
500.8 IPS |
|
|
Face Detection (Q)
|
97% |
22555
269.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49876
384.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86654
667.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
39838
318.4 IPS |
|
|
Style Transfer (SP)
|
100% |
189658
243.8 IPS |
|
|
Style Transfer (HP)
|
100% |
457141
587.7 IPS |
|
|
Style Transfer (Q)
|
98% |
169153
218.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37178
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52441
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24255
898.1 IPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4111
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1758
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4020
69.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1682
31.6 IPS |
