iPhone 14 Pro Max
Geekbench ML Score
5089
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 03:54 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1165
218.0 IPS |
|
|
Image Classification (F16)
|
100% |
5286
989.1 IPS |
|
|
Image Classification (I8)
|
99% |
6056
1.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1152
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1572
26.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1538
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
11138
13.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
78953
95.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
82509
99.9 IPS |
|
|
Object Detection (F32)
|
100% |
1428
106.6 IPS |
|
|
Object Detection (F16)
|
100% |
3932
293.5 IPS |
|
|
Object Detection (I8)
|
97% |
1709
127.6 IPS |
|
|
Face Detection (F32)
|
100% |
5090
60.5 IPS |
|
|
Face Detection (F16)
|
97% |
9992
118.8 IPS |
|
|
Face Detection (I8)
|
96% |
9898
117.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8516
66.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
36550
283.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
35511
275.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20230
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
113058
148.7 IPS |
|
|
Style Transfer (I8)
|
100% |
113194
148.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4298
153.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17530
626.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16967
605.9 IPS |
|
|
Text Classification (F32)
|
100% |
357
513.6 IPS |
|
|
Text Classification (F16)
|
100% |
359
515.9 IPS |
|
|
Text Classification (I8)
|
96% |
243
348.7 IPS |
|
|
Machine Translation (F32)
|
100% |
604
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (I8)
|
99% |
586
10.8 IPS |
