iPhone 14 Pro Max
Geekbench ML Score
5343
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 05:16 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1164
217.8 IPS |
|
|
Image Classification (F16)
|
100% |
5408
1.01 KIPS |
|
|
Image Classification (I8)
|
99% |
5871
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1147
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1566
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1626
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11063
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
80164
97.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
79650
96.5 IPS |
|
|
Object Detection (F32)
|
100% |
1824
136.2 IPS |
|
|
Object Detection (F16)
|
100% |
3701
276.3 IPS |
|
|
Object Detection (I8)
|
97% |
1499
111.9 IPS |
|
|
Face Detection (F32)
|
100% |
5164
61.4 IPS |
|
|
Face Detection (F16)
|
97% |
10269
122.1 IPS |
|
|
Face Detection (I8)
|
96% |
10840
128.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8450
65.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
37817
293.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
38240
296.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20168
26.5 IPS |
|
|
Style Transfer (F16)
|
100% |
112671
148.2 IPS |
|
|
Style Transfer (I8)
|
100% |
117841
155.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4653
166.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17107
611.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17321
618.6 IPS |
|
|
Text Classification (F32)
|
100% |
377
542.0 IPS |
|
|
Text Classification (F16)
|
100% |
576
827.9 IPS |
|
|
Text Classification (I8)
|
96% |
403
579.2 IPS |
|
|
Machine Translation (F32)
|
100% |
618
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1100
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
575
10.6 IPS |
