iPhone 15 Pro Max
Geekbench ML Score
8965
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 06:32 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1192
223.0 IPS |
|
|
Image Classification (F16)
|
100% |
10373
1.94 KIPS |
|
|
Image Classification (I8)
|
99% |
11560
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1337
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2199
36.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2173
36.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14749
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
96287
116.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
99581
120.6 IPS |
|
|
Object Detection (F32)
|
100% |
2475
184.8 IPS |
|
|
Object Detection (F16)
|
100% |
5548
414.2 IPS |
|
|
Object Detection (I8)
|
97% |
1604
119.7 IPS |
|
|
Face Detection (F32)
|
100% |
5850
69.6 IPS |
|
|
Face Detection (F16)
|
97% |
19566
232.6 IPS |
|
|
Face Detection (I8)
|
96% |
19651
233.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12305
95.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
50685
393.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
50704
393.2 IPS |
|
|
Style Transfer (F32)
|
100% |
29487
38.8 IPS |
|
|
Style Transfer (F16)
|
100% |
135126
177.7 IPS |
|
|
Style Transfer (I8)
|
100% |
126966
167.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7212
257.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32150
1.15 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31978
1.14 KIPS |
|
|
Text Classification (F32)
|
100% |
2927
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
5024
7.22 KIPS |
|
|
Text Classification (I8)
|
96% |
5076
7.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
632
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1638
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
645
11.9 IPS |
