iPhone 11 Pro Max
Geekbench ML Score
904
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 27 2024 12:56 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
300
56.2 IPS |
|
|
Image Classification (F16)
|
100% |
341
63.7 IPS |
|
|
Image Classification (I8)
|
99% |
338
63.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
232
3.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
246
4.12 IPS |
|
|
Image Segmentation (I8)
|
100% |
239
3.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
2258
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
3065
3.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
3044
3.69 IPS |
|
|
Object Detection (F32)
|
100% |
494
36.9 IPS |
|
|
Object Detection (F16)
|
100% |
519
38.8 IPS |
|
|
Object Detection (I8)
|
97% |
486
36.3 IPS |
|
|
Face Detection (F32)
|
100% |
2503
29.8 IPS |
|
|
Face Detection (F16)
|
98% |
3103
36.9 IPS |
|
|
Face Detection (I8)
|
97% |
3156
37.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2439
18.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3448
26.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3460
26.8 IPS |
|
|
Style Transfer (F32)
|
100% |
6082
8.00 IPS |
|
|
Style Transfer (F16)
|
100% |
8165
10.7 IPS |
|
|
Style Transfer (I8)
|
100% |
8195
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1045
37.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1407
50.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1393
49.7 IPS |
|
|
Text Classification (F32)
|
100% |
230
330.2 IPS |
|
|
Text Classification (F16)
|
100% |
296
426.1 IPS |
|
|
Text Classification (I8)
|
96% |
300
430.8 IPS |
|
|
Machine Translation (F32)
|
100% |
151
2.78 IPS |
|
|
Machine Translation (F16)
|
100% |
148
2.72 IPS |
|
|
Machine Translation (I8)
|
99% |
147
2.71 IPS |
