iPhone 11 Pro Max
Geekbench ML Score
1008
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 17 2025 09:39 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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% |
284
53.1 IPS |
|
|
Image Classification (F16)
|
100% |
290
54.3 IPS |
|
|
Image Classification (I8)
|
99% |
290
54.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
292
4.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
323
5.40 IPS |
|
|
Image Segmentation (I8)
|
100% |
322
5.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
2275
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
3118
3.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
3122
3.78 IPS |
|
|
Object Detection (F32)
|
100% |
507
37.9 IPS |
|
|
Object Detection (F16)
|
100% |
552
41.2 IPS |
|
|
Object Detection (I8)
|
97% |
540
40.3 IPS |
|
|
Face Detection (F32)
|
100% |
2511
29.9 IPS |
|
|
Face Detection (F16)
|
97% |
2873
34.2 IPS |
|
|
Face Detection (I8)
|
96% |
2890
34.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2700
20.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3308
25.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3193
24.8 IPS |
|
|
Style Transfer (F32)
|
24% |
6044
7.95 IPS |
|
|
Style Transfer (F16)
|
30% |
8831
11.6 IPS |
|
|
Style Transfer (I8)
|
30% |
8802
11.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1328
47.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1390
49.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1466
52.3 IPS |
|
|
Text Classification (F32)
|
100% |
246
354.3 IPS |
|
|
Text Classification (F16)
|
100% |
324
465.3 IPS |
|
|
Text Classification (I8)
|
96% |
323
464.8 IPS |
|
|
Machine Translation (F32)
|
100% |
298
5.48 IPS |
|
|
Machine Translation (F16)
|
100% |
305
5.62 IPS |
|
|
Machine Translation (I8)
|
99% |
298
5.49 IPS |
