iPhone 13 Pro Max
Geekbench ML Score
2681
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 09:11 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1242
232.4 IPS |
|
|
Image Classification (F16)
|
100% |
1038
194.3 IPS |
|
|
Image Classification (I8)
|
99% |
1422
266.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1129
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1216
20.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1191
19.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
10753
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
12181
14.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
11970
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1421
106.1 IPS |
|
|
Object Detection (F16)
|
100% |
1379
103.0 IPS |
|
|
Object Detection (I8)
|
97% |
1667
124.5 IPS |
|
|
Face Detection (F32)
|
100% |
4129
49.1 IPS |
|
|
Face Detection (F16)
|
98% |
5412
64.3 IPS |
|
|
Face Detection (I8)
|
97% |
5170
61.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8685
67.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9613
74.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
8600
66.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18561
24.4 IPS |
|
|
Style Transfer (F16)
|
100% |
22482
29.6 IPS |
|
|
Style Transfer (I8)
|
100% |
23071
30.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3899
139.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4617
164.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4628
165.3 IPS |
|
|
Text Classification (F32)
|
100% |
573
823.0 IPS |
|
|
Text Classification (F16)
|
100% |
370
531.9 IPS |
|
|
Text Classification (I8)
|
96% |
236
339.8 IPS |
|
|
Machine Translation (F32)
|
100% |
578
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
624
11.5 IPS |
|
|
Machine Translation (I8)
|
99% |
385
7.08 IPS |
