iPhone 15 Pro Max
Geekbench ML Score
4639
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 17 2024 04:27 PM |
| 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% |
1687
315.6 IPS |
|
|
Image Classification (F16)
|
100% |
2898
542.4 IPS |
|
|
Image Classification (I8)
|
99% |
2902
543.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1009
16.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1291
21.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1306
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
7828
9.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
16710
20.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
16781
20.3 IPS |
|
|
Object Detection (F32)
|
100% |
1679
125.3 IPS |
|
|
Object Detection (F16)
|
100% |
2784
207.9 IPS |
|
|
Object Detection (I8)
|
97% |
1676
125.1 IPS |
|
|
Face Detection (F32)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (F16)
|
97% |
6431
76.5 IPS |
|
|
Face Detection (I8)
|
97% |
6394
76.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6976
54.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13520
104.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
13520
104.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21682
28.5 IPS |
|
|
Style Transfer (F16)
|
100% |
33314
43.8 IPS |
|
|
Style Transfer (I8)
|
100% |
33361
43.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5586
199.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6493
231.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6474
231.2 IPS |
|
|
Text Classification (F32)
|
100% |
2980
4.28 KIPS |
|
|
Text Classification (F16)
|
100% |
5191
7.46 KIPS |
|
|
Text Classification (I8)
|
96% |
5198
7.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1704
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1355
24.9 IPS |
