iPhone 14 Pro Max
Geekbench ML Score
5078
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 04:16 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% |
1161
217.3 IPS |
|
|
Image Classification (F16)
|
100% |
5366
1.00 KIPS |
|
|
Image Classification (I8)
|
99% |
5923
1.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1143
19.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1597
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1600
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
11111
13.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
78133
94.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
80995
98.1 IPS |
|
|
Object Detection (F32)
|
100% |
1366
101.9 IPS |
|
|
Object Detection (F16)
|
100% |
3777
282.0 IPS |
|
|
Object Detection (I8)
|
97% |
1421
106.1 IPS |
|
|
Face Detection (F32)
|
100% |
5113
60.8 IPS |
|
|
Face Detection (F16)
|
97% |
9953
118.3 IPS |
|
|
Face Detection (I8)
|
96% |
10014
119.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
8701
67.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
36333
281.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
37845
293.5 IPS |
|
|
Style Transfer (F32)
|
100% |
20001
26.3 IPS |
|
|
Style Transfer (F16)
|
100% |
114710
150.9 IPS |
|
|
Style Transfer (I8)
|
100% |
112765
148.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4837
172.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17332
619.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17499
625.0 IPS |
|
|
Text Classification (F32)
|
100% |
358
514.4 IPS |
|
|
Text Classification (F16)
|
100% |
357
513.7 IPS |
|
|
Text Classification (I8)
|
96% |
240
345.1 IPS |
|
|
Machine Translation (F32)
|
100% |
590
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1086
20.0 IPS |
|
|
Machine Translation (I8)
|
99% |
588
10.8 IPS |
