iPhone 14 Pro Max
Geekbench ML Score
3534
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 11:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1443
270.1 IPS |
|
|
Image Classification (F16)
|
100% |
1862
348.4 IPS |
|
|
Image Classification (I8)
|
99% |
1862
348.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
771
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
773
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
770
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6160
7.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
14223
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14225
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1451
108.3 IPS |
|
|
Object Detection (F16)
|
100% |
1996
149.0 IPS |
|
|
Object Detection (I8)
|
97% |
1459
108.9 IPS |
|
|
Face Detection (F32)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (F16)
|
97% |
4375
52.0 IPS |
|
|
Face Detection (I8)
|
97% |
4399
52.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5577
43.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8667
67.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8640
67.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17230
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26431
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26385
34.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4069
145.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5076
181.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5012
179.0 IPS |
|
|
Text Classification (F32)
|
100% |
2387
3.43 KIPS |
|
|
Text Classification (F16)
|
100% |
4095
5.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3932
5.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1223
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1516
27.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1204
22.1 IPS |
