iPhone 11 Pro Max
Geekbench ML Score
1017
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 12 2024 06:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6.1 |
| 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% |
296
55.3 IPS |
|
|
Image Classification (F16)
|
100% |
349
65.2 IPS |
|
|
Image Classification (I8)
|
99% |
353
66.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
310
5.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
334
5.57 IPS |
|
|
Image Segmentation (I8)
|
100% |
330
5.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
2280
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
3151
3.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
3122
3.78 IPS |
|
|
Object Detection (F32)
|
100% |
508
37.9 IPS |
|
|
Object Detection (F16)
|
100% |
552
41.2 IPS |
|
|
Object Detection (I8)
|
97% |
540
40.3 IPS |
|
|
Face Detection (F32)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (F16)
|
97% |
3251
38.7 IPS |
|
|
Face Detection (I8)
|
96% |
3309
39.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2478
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3486
27.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
3530
27.4 IPS |
|
|
Style Transfer (F32)
|
24% |
5973
7.86 IPS |
|
|
Style Transfer (F16)
|
30% |
8221
10.8 IPS |
|
|
Style Transfer (I8)
|
30% |
8800
11.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1008
36.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1121
40.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1430
51.1 IPS |
|
|
Text Classification (F32)
|
100% |
248
356.1 IPS |
|
|
Text Classification (F16)
|
100% |
330
473.6 IPS |
|
|
Text Classification (I8)
|
96% |
327
470.3 IPS |
|
|
Machine Translation (F32)
|
100% |
301
5.53 IPS |
|
|
Machine Translation (F16)
|
100% |
293
5.38 IPS |
|
|
Machine Translation (I8)
|
99% |
294
5.42 IPS |
