Acer Predator PH16-72
Geekbench ML Score
16939
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 09 2025 11:37 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PH16-72 |
| Motherboard | RPL eTron_RTX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8045
1.51 KIPS |
|
|
Image Classification (F16)
|
100% |
8780
1.64 KIPS |
|
|
Image Classification (I8)
|
100% |
7627
1.43 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10923
182.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
10942
182.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
10301
172.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
116983
141.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
119743
145.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
108046
130.8 IPS |
|
|
Object Detection (F32)
|
100% |
5871
438.3 IPS |
|
|
Object Detection (F16)
|
100% |
5689
424.7 IPS |
|
|
Object Detection (I8)
|
63% |
5415
404.2 IPS |
|
|
Face Detection (F32)
|
100% |
25889
307.8 IPS |
|
|
Face Detection (F16)
|
100% |
26427
314.2 IPS |
|
|
Face Detection (I8)
|
89% |
22467
267.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
55730
432.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
44959
348.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
36134
280.2 IPS |
|
|
Style Transfer (F32)
|
100% |
191322
251.7 IPS |
|
|
Style Transfer (F16)
|
100% |
188844
248.4 IPS |
|
|
Style Transfer (I8)
|
98% |
176918
232.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
31752
1.13 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
28581
1.02 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
22792
814.0 IPS |
|
|
Text Classification (F32)
|
100% |
2502
3.60 KIPS |
|
|
Text Classification (F16)
|
100% |
2556
3.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1353
1.94 KIPS |
|
|
Machine Translation (F32)
|
100% |
3450
63.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3451
63.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2139
39.4 IPS |
