iPhone 14 Pro Max
Geekbench ML Score
5141
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 03:16 PM |
| 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% |
1230
230.3 IPS |
|
|
Image Classification (F16)
|
100% |
5637
1.05 KIPS |
|
|
Image Classification (I8)
|
99% |
5830
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1604
26.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1599
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
11214
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
79473
96.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
69289
83.9 IPS |
|
|
Object Detection (F32)
|
100% |
1806
134.8 IPS |
|
|
Object Detection (F16)
|
100% |
3719
277.7 IPS |
|
|
Object Detection (I8)
|
97% |
1462
109.2 IPS |
|
|
Face Detection (F32)
|
100% |
5164
61.4 IPS |
|
|
Face Detection (F16)
|
97% |
10238
121.7 IPS |
|
|
Face Detection (I8)
|
96% |
10324
122.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8653
67.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
34740
269.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
42276
327.9 IPS |
|
|
Style Transfer (F32)
|
100% |
20305
26.7 IPS |
|
|
Style Transfer (F16)
|
100% |
117533
154.6 IPS |
|
|
Style Transfer (I8)
|
100% |
117142
154.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4250
151.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17542
626.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16245
580.2 IPS |
|
|
Text Classification (F32)
|
100% |
366
525.5 IPS |
|
|
Text Classification (F16)
|
100% |
362
520.0 IPS |
|
|
Text Classification (I8)
|
96% |
246
354.0 IPS |
|
|
Machine Translation (F32)
|
100% |
607
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (I8)
|
99% |
594
10.9 IPS |
