iPhone 15 Pro Max
Geekbench ML Score
3680
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 09:54 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1646
307.9 IPS |
|
|
Image Classification (F16)
|
100% |
1287
240.8 IPS |
|
|
Image Classification (I8)
|
99% |
1723
322.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1408
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1528
25.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1519
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
14485
17.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
15738
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15484
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
1621
121.0 IPS |
|
|
Object Detection (F16)
|
100% |
1555
116.1 IPS |
|
|
Object Detection (I8)
|
97% |
2278
170.1 IPS |
|
|
Face Detection (F32)
|
100% |
6399
76.1 IPS |
|
|
Face Detection (F16)
|
98% |
8051
95.7 IPS |
|
|
Face Detection (I8)
|
97% |
8390
99.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12114
93.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13826
107.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
12734
98.8 IPS |
|
|
Style Transfer (F32)
|
100% |
28083
36.9 IPS |
|
|
Style Transfer (F16)
|
100% |
32152
42.3 IPS |
|
|
Style Transfer (I8)
|
100% |
34983
46.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6916
247.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6318
225.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7469
266.7 IPS |
|
|
Text Classification (F32)
|
100% |
453
651.6 IPS |
|
|
Text Classification (F16)
|
100% |
485
697.6 IPS |
|
|
Text Classification (I8)
|
96% |
472
679.0 IPS |
|
|
Machine Translation (F32)
|
100% |
752
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
777
14.3 IPS |
|
|
Machine Translation (I8)
|
99% |
682
12.5 IPS |
