iPhone 14 Pro Max
Geekbench ML Score
5260
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 08 2024 04:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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% |
1179
220.7 IPS |
|
|
Image Classification (F16)
|
100% |
5480
1.03 KIPS |
|
|
Image Classification (I8)
|
99% |
5860
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1149
19.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1655
27.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1618
27.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
10964
13.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
79563
96.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
82126
99.5 IPS |
|
|
Object Detection (F32)
|
100% |
1422
106.1 IPS |
|
|
Object Detection (F16)
|
100% |
3729
278.4 IPS |
|
|
Object Detection (I8)
|
97% |
1615
120.5 IPS |
|
|
Face Detection (F32)
|
100% |
5102
60.7 IPS |
|
|
Face Detection (F16)
|
97% |
10484
124.7 IPS |
|
|
Face Detection (I8)
|
96% |
10211
121.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8375
64.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
36753
285.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
36373
282.1 IPS |
|
|
Style Transfer (F32)
|
100% |
19939
26.2 IPS |
|
|
Style Transfer (F16)
|
100% |
112365
147.8 IPS |
|
|
Style Transfer (I8)
|
100% |
115150
151.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4208
150.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17456
623.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16610
593.2 IPS |
|
|
Text Classification (F32)
|
100% |
563
809.5 IPS |
|
|
Text Classification (F16)
|
100% |
377
542.2 IPS |
|
|
Text Classification (I8)
|
96% |
378
542.7 IPS |
|
|
Machine Translation (F32)
|
100% |
615
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
576
10.6 IPS |
