iPhone 15 Pro Max
Geekbench ML Score
6071
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 08 2024 01:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1675
313.5 IPS |
|
|
Image Classification (F16)
|
100% |
6008
1.12 KIPS |
|
|
Image Classification (I8)
|
99% |
6561
1.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1379
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1781
29.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1601
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14803
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
83363
100.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
85556
103.6 IPS |
|
|
Object Detection (F32)
|
100% |
2393
178.6 IPS |
|
|
Object Detection (F16)
|
100% |
4516
337.2 IPS |
|
|
Object Detection (I8)
|
97% |
1708
127.5 IPS |
|
|
Face Detection (F32)
|
100% |
6374
75.8 IPS |
|
|
Face Detection (F16)
|
97% |
10509
125.0 IPS |
|
|
Face Detection (I8)
|
96% |
10524
125.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12107
93.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
39291
304.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
50699
393.2 IPS |
|
|
Style Transfer (F32)
|
100% |
29406
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
117882
155.1 IPS |
|
|
Style Transfer (I8)
|
100% |
117964
155.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6820
243.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18018
643.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18198
649.9 IPS |
|
|
Text Classification (F32)
|
100% |
435
625.6 IPS |
|
|
Text Classification (F16)
|
100% |
433
622.6 IPS |
|
|
Text Classification (I8)
|
96% |
281
404.0 IPS |
|
|
Machine Translation (F32)
|
100% |
730
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1549
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
670
12.3 IPS |
