iPhone 11 Pro Max
Geekbench ML Score
1047
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 08:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.2 |
| 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% |
308
57.6 IPS |
|
|
Image Classification (F16)
|
100% |
354
66.2 IPS |
|
|
Image Classification (I8)
|
99% |
355
66.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
318
5.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
337
5.63 IPS |
|
|
Image Segmentation (I8)
|
100% |
334
5.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
2287
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
3142
3.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
3124
3.78 IPS |
|
|
Object Detection (F32)
|
100% |
551
41.2 IPS |
|
|
Object Detection (F16)
|
100% |
590
44.1 IPS |
|
|
Object Detection (I8)
|
97% |
513
38.3 IPS |
|
|
Face Detection (F32)
|
100% |
2510
29.8 IPS |
|
|
Face Detection (F16)
|
97% |
3420
40.7 IPS |
|
|
Face Detection (I8)
|
96% |
3416
40.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2519
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3495
27.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3503
27.2 IPS |
|
|
Style Transfer (F32)
|
24% |
6009
7.90 IPS |
|
|
Style Transfer (F16)
|
30% |
9012
11.9 IPS |
|
|
Style Transfer (I8)
|
30% |
8843
11.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1210
43.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1385
49.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1396
49.8 IPS |
|
|
Text Classification (F32)
|
100% |
242
348.3 IPS |
|
|
Text Classification (F16)
|
100% |
326
467.9 IPS |
|
|
Text Classification (I8)
|
96% |
329
473.3 IPS |
|
|
Machine Translation (F32)
|
100% |
310
5.71 IPS |
|
|
Machine Translation (F16)
|
100% |
310
5.71 IPS |
|
|
Machine Translation (I8)
|
99% |
306
5.63 IPS |
