Acer Predator PH16-72
Geekbench ML Score
15908
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 09 2024 10:03 PM |
| 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% |
7920
1.48 KIPS |
|
|
Image Classification (F16)
|
100% |
8086
1.51 KIPS |
|
|
Image Classification (I8)
|
100% |
7350
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11476
191.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
10837
181.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
10168
169.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
119338
144.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
112454
136.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
104496
126.5 IPS |
|
|
Object Detection (F32)
|
100% |
5971
445.8 IPS |
|
|
Object Detection (F16)
|
100% |
4755
355.0 IPS |
|
|
Object Detection (I8)
|
63% |
5152
384.6 IPS |
|
|
Face Detection (F32)
|
100% |
22991
273.4 IPS |
|
|
Face Detection (F16)
|
100% |
23206
275.9 IPS |
|
|
Face Detection (I8)
|
89% |
21137
251.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
41616
322.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
40548
314.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
32510
252.1 IPS |
|
|
Style Transfer (F32)
|
100% |
192429
253.1 IPS |
|
|
Style Transfer (F16)
|
100% |
180340
237.2 IPS |
|
|
Style Transfer (I8)
|
98% |
165602
217.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22916
818.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25358
905.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20959
748.5 IPS |
|
|
Text Classification (F32)
|
100% |
2570
3.69 KIPS |
|
|
Text Classification (F16)
|
100% |
2526
3.63 KIPS |
|
|
Text Classification (I8)
|
98% |
1361
1.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
3538
65.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3366
61.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2012
37.0 IPS |
