iPhone 11 Pro Max
Geekbench ML Score
1043
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 08 2024 01:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4 |
| 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% |
288
53.9 IPS |
|
|
Image Classification (F16)
|
100% |
341
63.8 IPS |
|
|
Image Classification (I8)
|
99% |
346
64.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
308
5.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
333
5.56 IPS |
|
|
Image Segmentation (I8)
|
100% |
335
5.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
2280
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
3150
3.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
3118
3.78 IPS |
|
|
Object Detection (F32)
|
100% |
527
39.4 IPS |
|
|
Object Detection (F16)
|
100% |
551
41.2 IPS |
|
|
Object Detection (I8)
|
97% |
537
40.1 IPS |
|
|
Face Detection (F32)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (F16)
|
97% |
3408
40.5 IPS |
|
|
Face Detection (I8)
|
96% |
3380
40.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2539
19.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3490
27.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3491
27.1 IPS |
|
|
Style Transfer (F32)
|
24% |
5968
7.85 IPS |
|
|
Style Transfer (F16)
|
30% |
8988
11.8 IPS |
|
|
Style Transfer (I8)
|
30% |
8843
11.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1371
49.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1405
50.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1402
50.1 IPS |
|
|
Text Classification (F32)
|
100% |
246
352.9 IPS |
|
|
Text Classification (F16)
|
100% |
325
466.7 IPS |
|
|
Text Classification (I8)
|
96% |
327
470.1 IPS |
|
|
Machine Translation (F32)
|
100% |
298
5.48 IPS |
|
|
Machine Translation (F16)
|
100% |
312
5.74 IPS |
|
|
Machine Translation (I8)
|
99% |
311
5.72 IPS |
