iPhone 15 Pro Max
Geekbench ML Score
5961
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | adhame95 |
| Upload Date | August 15 2024 05:50 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1228
229.7 IPS |
|
|
Image Classification (F16)
|
100% |
6201
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6612
1.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1374
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1736
29.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1797
30.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14722
17.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
83298
100.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
87366
105.8 IPS |
|
|
Object Detection (F32)
|
100% |
1583
118.2 IPS |
|
|
Object Detection (F16)
|
100% |
3835
286.3 IPS |
|
|
Object Detection (I8)
|
97% |
1589
118.6 IPS |
|
|
Face Detection (F32)
|
100% |
6076
72.2 IPS |
|
|
Face Detection (F16)
|
97% |
10472
124.5 IPS |
|
|
Face Detection (I8)
|
96% |
10844
128.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12285
95.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
38584
299.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
49803
386.2 IPS |
|
|
Style Transfer (F32)
|
100% |
29605
38.9 IPS |
|
|
Style Transfer (F16)
|
100% |
120672
158.7 IPS |
|
|
Style Transfer (I8)
|
100% |
114177
150.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6740
240.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17995
642.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19062
680.8 IPS |
|
|
Text Classification (F32)
|
100% |
468
673.0 IPS |
|
|
Text Classification (F16)
|
100% |
485
697.3 IPS |
|
|
Text Classification (I8)
|
96% |
301
431.9 IPS |
|
|
Machine Translation (F32)
|
100% |
740
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1554
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
676
12.4 IPS |
