iPhone 15 Pro Max
Geekbench ML Score
2512
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 10 2024 10:08 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1377
257.7 IPS |
|
|
Image Classification (F16)
|
100% |
1244
232.8 IPS |
|
|
Image Classification (I8)
|
99% |
1253
234.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
602
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
575
9.61 IPS |
|
|
Image Segmentation (I8)
|
100% |
570
9.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
7486
9.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
14044
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14034
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1459
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
1411
105.3 IPS |
|
|
Object Detection (I8)
|
97% |
1434
107.1 IPS |
|
|
Face Detection (F32)
|
100% |
2376
28.3 IPS |
|
|
Face Detection (F16)
|
100% |
2079
24.7 IPS |
|
|
Face Detection (I8)
|
99% |
2070
24.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4802
37.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
5050
39.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
5059
39.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12976
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
15165
19.9 IPS |
|
|
Style Transfer (I8)
|
100% |
15310
20.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4467
159.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3686
131.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3680
131.4 IPS |
|
|
Text Classification (F32)
|
100% |
1691
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1067
1.53 KIPS |
|
|
Text Classification (I8)
|
96% |
1065
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1066
19.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1121
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1040
19.1 IPS |
