iPhone 15 Pro Max
Geekbench ML Score
4309
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 07:34 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1484
277.7 IPS |
|
|
Image Classification (F16)
|
100% |
2737
512.2 IPS |
|
|
Image Classification (I8)
|
99% |
2763
517.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
959
16.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1222
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1248
20.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6710
8.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
13808
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13972
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1580
118.0 IPS |
|
|
Object Detection (F16)
|
100% |
2726
203.5 IPS |
|
|
Object Detection (I8)
|
97% |
1558
116.4 IPS |
|
|
Face Detection (F32)
|
100% |
2878
34.2 IPS |
|
|
Face Detection (F16)
|
97% |
6002
71.4 IPS |
|
|
Face Detection (I8)
|
97% |
5940
70.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6339
49.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
12637
98.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
12599
97.7 IPS |
|
|
Style Transfer (F32)
|
100% |
19296
25.4 IPS |
|
|
Style Transfer (F16)
|
100% |
31431
41.3 IPS |
|
|
Style Transfer (I8)
|
100% |
31744
41.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5101
182.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6338
226.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6372
227.6 IPS |
|
|
Text Classification (F32)
|
100% |
3043
4.37 KIPS |
|
|
Text Classification (F16)
|
100% |
5364
7.71 KIPS |
|
|
Text Classification (I8)
|
96% |
5336
7.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1162
21.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1505
27.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1212
22.3 IPS |
