iPhone 15 Pro Max
Geekbench ML Score
2518
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Odai |
| Upload Date | January 07 2024 07:28 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1449
271.2 IPS |
|
|
Image Classification (F16)
|
100% |
1245
232.9 IPS |
|
|
Image Classification (I8)
|
99% |
1249
233.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
641
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
574
9.59 IPS |
|
|
Image Segmentation (I8)
|
100% |
572
9.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
7528
9.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
13988
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14040
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1455
108.7 IPS |
|
|
Object Detection (F16)
|
100% |
1407
105.0 IPS |
|
|
Object Detection (I8)
|
97% |
1460
109.0 IPS |
|
|
Face Detection (F32)
|
100% |
2362
28.1 IPS |
|
|
Face Detection (F16)
|
100% |
2090
24.9 IPS |
|
|
Face Detection (I8)
|
99% |
2082
24.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4843
37.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
5060
39.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
4975
38.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12758
16.8 IPS |
|
|
Style Transfer (F16)
|
100% |
15239
20.0 IPS |
|
|
Style Transfer (I8)
|
100% |
15220
20.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4443
158.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3674
131.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3673
131.2 IPS |
|
|
Text Classification (F32)
|
100% |
1690
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1064
1.53 KIPS |
|
|
Text Classification (I8)
|
96% |
1066
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1056
19.4 IPS |
|
|
Machine Translation (F16)
|
99% |
1120
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1030
19.0 IPS |
