iPhone 13 Pro Max
Geekbench ML Score
2707
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 07 2024 01:52 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1180
220.8 IPS |
|
|
Image Classification (F16)
|
100% |
1145
214.3 IPS |
|
|
Image Classification (I8)
|
99% |
1409
263.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1174
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1225
20.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1227
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10332
12.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
11117
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11762
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1323
98.8 IPS |
|
|
Object Detection (F16)
|
100% |
1301
97.2 IPS |
|
|
Object Detection (I8)
|
97% |
1385
103.4 IPS |
|
|
Face Detection (F32)
|
100% |
4408
52.4 IPS |
|
|
Face Detection (F16)
|
98% |
5565
66.2 IPS |
|
|
Face Detection (I8)
|
97% |
5486
65.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8360
64.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8984
69.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
8565
66.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17367
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
22018
29.0 IPS |
|
|
Style Transfer (I8)
|
100% |
23130
30.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4152
148.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4181
149.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4192
149.7 IPS |
|
|
Text Classification (F32)
|
100% |
566
813.0 IPS |
|
|
Text Classification (F16)
|
100% |
565
812.3 IPS |
|
|
Text Classification (I8)
|
96% |
241
346.2 IPS |
|
|
Machine Translation (F32)
|
100% |
572
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
631
11.6 IPS |
|
|
Machine Translation (I8)
|
99% |
563
10.4 IPS |
