iPhone 11 Pro Max
Geekbench ML Score
918
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 03:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
279
52.2 IPS |
|
|
Image Classification (F16)
|
100% |
336
62.9 IPS |
|
|
Image Classification (I8)
|
99% |
337
63.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
225
3.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
248
4.14 IPS |
|
|
Image Segmentation (I8)
|
100% |
247
4.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
2261
2.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
3060
3.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
3043
3.69 IPS |
|
|
Object Detection (F32)
|
100% |
454
33.9 IPS |
|
|
Object Detection (F16)
|
100% |
444
33.2 IPS |
|
|
Object Detection (I8)
|
97% |
487
36.4 IPS |
|
|
Face Detection (F32)
|
100% |
2454
29.2 IPS |
|
|
Face Detection (F16)
|
98% |
3056
36.3 IPS |
|
|
Face Detection (I8)
|
97% |
3064
36.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2477
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3451
26.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
3445
26.7 IPS |
|
|
Style Transfer (F32)
|
100% |
6094
8.02 IPS |
|
|
Style Transfer (F16)
|
100% |
7874
10.4 IPS |
|
|
Style Transfer (I8)
|
100% |
8205
10.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1320
47.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1110
39.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1101
39.3 IPS |
|
|
Text Classification (F32)
|
100% |
234
336.1 IPS |
|
|
Text Classification (F16)
|
100% |
298
428.4 IPS |
|
|
Text Classification (I8)
|
96% |
304
436.6 IPS |
|
|
Machine Translation (F32)
|
100% |
215
3.96 IPS |
|
|
Machine Translation (F16)
|
100% |
197
3.62 IPS |
|
|
Machine Translation (I8)
|
99% |
224
4.12 IPS |
