iPhone 15 Pro Max
Geekbench ML Score
6103
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 09:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1740
325.6 IPS |
|
|
Image Classification (F16)
|
100% |
6265
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6848
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1423
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1765
29.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1778
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14551
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
83420
101.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
84016
101.7 IPS |
|
|
Object Detection (F32)
|
100% |
1469
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
3857
288.0 IPS |
|
|
Object Detection (I8)
|
97% |
2316
172.9 IPS |
|
|
Face Detection (F32)
|
100% |
6465
76.9 IPS |
|
|
Face Detection (F16)
|
97% |
10547
125.4 IPS |
|
|
Face Detection (I8)
|
96% |
10715
127.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12167
94.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
39264
304.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
36898
286.1 IPS |
|
|
Style Transfer (F32)
|
100% |
27958
36.8 IPS |
|
|
Style Transfer (F16)
|
100% |
121716
160.1 IPS |
|
|
Style Transfer (I8)
|
100% |
120250
158.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6911
246.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18022
643.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17736
633.4 IPS |
|
|
Text Classification (F32)
|
100% |
449
645.6 IPS |
|
|
Text Classification (F16)
|
100% |
654
939.4 IPS |
|
|
Text Classification (I8)
|
96% |
299
429.8 IPS |
|
|
Machine Translation (F32)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1577
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
687
12.6 IPS |
