iPhone 15 Pro Max
Geekbench ML Score
3580
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 01 2024 08:56 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1313
245.8 IPS |
|
|
Image Classification (F16)
|
100% |
1710
320.1 IPS |
|
|
Image Classification (I8)
|
99% |
1551
290.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1409
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1530
25.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1536
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14827
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15810
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15554
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
1470
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
1511
112.8 IPS |
|
|
Object Detection (I8)
|
97% |
1486
110.9 IPS |
|
|
Face Detection (F32)
|
100% |
6292
74.8 IPS |
|
|
Face Detection (F16)
|
98% |
8111
96.4 IPS |
|
|
Face Detection (I8)
|
97% |
8592
102.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12387
96.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13843
107.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
12736
98.8 IPS |
|
|
Style Transfer (F32)
|
100% |
29490
38.8 IPS |
|
|
Style Transfer (F16)
|
100% |
31780
41.8 IPS |
|
|
Style Transfer (I8)
|
100% |
31312
41.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7098
253.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7531
269.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7529
268.9 IPS |
|
|
Text Classification (F32)
|
100% |
453
650.9 IPS |
|
|
Text Classification (F16)
|
100% |
490
704.0 IPS |
|
|
Text Classification (I8)
|
96% |
303
435.2 IPS |
|
|
Machine Translation (F32)
|
100% |
745
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
783
14.4 IPS |
|
|
Machine Translation (I8)
|
99% |
675
12.4 IPS |
