iPhone 14 Pro Max
Geekbench ML Score
2732
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 03:51 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1127
210.8 IPS |
|
|
Image Classification (F16)
|
100% |
1215
227.3 IPS |
|
|
Image Classification (I8)
|
99% |
1461
273.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1123
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1216
20.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1213
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
11423
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12116
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11984
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1391
103.8 IPS |
|
|
Object Detection (F16)
|
100% |
1285
95.9 IPS |
|
|
Object Detection (I8)
|
97% |
1377
102.8 IPS |
|
|
Face Detection (F32)
|
100% |
4719
56.1 IPS |
|
|
Face Detection (F16)
|
98% |
5537
65.8 IPS |
|
|
Face Detection (I8)
|
97% |
5318
63.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8689
67.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9227
71.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
8635
67.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20849
27.4 IPS |
|
|
Style Transfer (F16)
|
100% |
22736
29.9 IPS |
|
|
Style Transfer (I8)
|
100% |
23342
30.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4252
151.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4334
154.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4266
152.4 IPS |
|
|
Text Classification (F32)
|
100% |
369
530.2 IPS |
|
|
Text Classification (F16)
|
100% |
554
795.9 IPS |
|
|
Text Classification (I8)
|
96% |
241
346.6 IPS |
|
|
Machine Translation (F32)
|
100% |
604
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
631
11.6 IPS |
|
|
Machine Translation (I8)
|
99% |
591
10.9 IPS |
