iPhone 15 Pro Max
Geekbench ML Score
5991
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 03 2024 03:58 PM |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1750
327.4 IPS |
|
|
Image Classification (F16)
|
100% |
6220
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6884
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1361
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1704
28.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1551
25.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14780
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
82414
99.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
82830
100.3 IPS |
|
|
Object Detection (F32)
|
100% |
1465
109.4 IPS |
|
|
Object Detection (F16)
|
100% |
4309
321.7 IPS |
|
|
Object Detection (I8)
|
97% |
1657
123.7 IPS |
|
|
Face Detection (F32)
|
100% |
6127
72.9 IPS |
|
|
Face Detection (F16)
|
97% |
10476
124.6 IPS |
|
|
Face Detection (I8)
|
96% |
10642
126.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
12323
95.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
37710
292.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
40688
315.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29856
39.3 IPS |
|
|
Style Transfer (F16)
|
100% |
121183
159.4 IPS |
|
|
Style Transfer (I8)
|
100% |
119832
157.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6385
228.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16972
606.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17985
642.3 IPS |
|
|
Text Classification (F32)
|
100% |
461
662.0 IPS |
|
|
Text Classification (F16)
|
100% |
663
952.9 IPS |
|
|
Text Classification (I8)
|
96% |
305
438.4 IPS |
|
|
Machine Translation (F32)
|
100% |
740
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1503
27.7 IPS |
|
|
Machine Translation (I8)
|
99% |
657
12.1 IPS |
