iPhone 11 Pro Max
Geekbench ML Score
2032
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 08 2025 01:57 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
793
148.3 IPS |
|
|
Image Classification (F16)
|
100% |
1325
248.0 IPS |
|
|
Image Classification (I8)
|
99% |
1327
248.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
454
7.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
566
9.45 IPS |
|
|
Image Segmentation (I8)
|
100% |
544
9.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
3518
4.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
6411
7.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
6442
7.80 IPS |
|
|
Object Detection (F32)
|
100% |
738
55.1 IPS |
|
|
Object Detection (F16)
|
100% |
1397
104.3 IPS |
|
|
Object Detection (I8)
|
97% |
732
54.6 IPS |
|
|
Face Detection (F32)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (F16)
|
97% |
3069
36.5 IPS |
|
|
Face Detection (I8)
|
96% |
3105
36.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3114
24.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5872
45.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
5875
45.6 IPS |
|
|
Style Transfer (F32)
|
100% |
7235
9.52 IPS |
|
|
Style Transfer (F16)
|
100% |
14144
18.6 IPS |
|
|
Style Transfer (I8)
|
100% |
14150
18.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2107
75.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2828
101.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2841
101.5 IPS |
|
|
Text Classification (F32)
|
100% |
1267
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
2034
2.92 KIPS |
|
|
Text Classification (I8)
|
96% |
2056
2.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
629
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
953
17.5 IPS |
|
|
Machine Translation (I8)
|
99% |
623
11.5 IPS |
