iPhone 14 Pro Max
Geekbench ML Score
2815
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 09:38 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% |
1309
244.9 IPS |
|
|
Image Classification (F16)
|
100% |
1188
222.3 IPS |
|
|
Image Classification (I8)
|
99% |
1517
284.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1199
20.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1193
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
10928
13.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
11844
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
11851
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1394
104.1 IPS |
|
|
Object Detection (F16)
|
100% |
1376
102.7 IPS |
|
|
Object Detection (I8)
|
97% |
1430
106.8 IPS |
|
|
Face Detection (F32)
|
100% |
5009
59.6 IPS |
|
|
Face Detection (F16)
|
98% |
5717
68.0 IPS |
|
|
Face Detection (I8)
|
97% |
5626
66.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8495
65.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9293
72.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
8564
66.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20293
26.7 IPS |
|
|
Style Transfer (F16)
|
100% |
22666
29.8 IPS |
|
|
Style Transfer (I8)
|
100% |
23146
30.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4257
152.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5203
185.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4269
152.4 IPS |
|
|
Text Classification (F32)
|
100% |
356
512.1 IPS |
|
|
Text Classification (F16)
|
100% |
558
801.6 IPS |
|
|
Text Classification (I8)
|
96% |
413
594.1 IPS |
|
|
Machine Translation (F32)
|
100% |
599
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
626
11.5 IPS |
|
|
Machine Translation (I8)
|
99% |
592
10.9 IPS |
