iPhone 14 Pro Max
Geekbench ML Score
2688
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 09:34 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1369
256.3 IPS |
|
|
Image Classification (F16)
|
100% |
1009
188.7 IPS |
|
|
Image Classification (I8)
|
99% |
1512
282.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1114
18.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1195
20.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1186
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
11227
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
11858
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
11823
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1331
99.4 IPS |
|
|
Object Detection (F16)
|
100% |
1325
98.9 IPS |
|
|
Object Detection (I8)
|
97% |
1393
104.0 IPS |
|
|
Face Detection (F32)
|
100% |
5096
60.6 IPS |
|
|
Face Detection (F16)
|
98% |
5751
68.4 IPS |
|
|
Face Detection (I8)
|
97% |
5653
67.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8555
66.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8963
69.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
8349
64.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20151
26.5 IPS |
|
|
Style Transfer (F16)
|
100% |
22557
29.7 IPS |
|
|
Style Transfer (I8)
|
100% |
23355
30.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4167
148.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4345
155.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4259
152.1 IPS |
|
|
Text Classification (F32)
|
100% |
359
516.6 IPS |
|
|
Text Classification (F16)
|
100% |
356
512.2 IPS |
|
|
Text Classification (I8)
|
96% |
244
350.3 IPS |
|
|
Machine Translation (F32)
|
100% |
598
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
637
11.7 IPS |
|
|
Machine Translation (I8)
|
99% |
586
10.8 IPS |
