iPhone 15 Pro Max
Geekbench ML Score
4475
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 02:28 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1615
302.2 IPS |
|
|
Image Classification (F16)
|
100% |
1489
278.6 IPS |
|
|
Image Classification (I8)
|
99% |
1715
321.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1359
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1552
25.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1569
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
14667
17.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
15526
18.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
15095
18.3 IPS |
|
|
Object Detection (F32)
|
100% |
1459
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
1464
109.3 IPS |
|
|
Object Detection (I8)
|
97% |
1880
140.4 IPS |
|
|
Face Detection (F32)
|
100% |
6203
73.8 IPS |
|
|
Face Detection (F16)
|
98% |
8530
101.4 IPS |
|
|
Face Detection (I8)
|
97% |
8676
103.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12231
94.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13568
105.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
12600
97.7 IPS |
|
|
Style Transfer (F32)
|
100% |
29047
38.2 IPS |
|
|
Style Transfer (F16)
|
100% |
35139
46.2 IPS |
|
|
Style Transfer (I8)
|
100% |
35760
47.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7035
251.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6382
227.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6678
238.5 IPS |
|
|
Text Classification (F32)
|
100% |
2846
4.09 KIPS |
|
|
Text Classification (F16)
|
100% |
4821
6.93 KIPS |
|
|
Text Classification (I8)
|
96% |
4823
6.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
630
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
630
11.6 IPS |
|
|
Machine Translation (I8)
|
99% |
645
11.9 IPS |
