iPhone 14 Pro Max
Geekbench ML Score
3527
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 03:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1438
269.1 IPS |
|
|
Image Classification (F16)
|
100% |
1857
347.5 IPS |
|
|
Image Classification (I8)
|
99% |
1871
350.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
755
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
755
12.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
755
12.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6380
7.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
14293
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14182
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1440
107.5 IPS |
|
|
Object Detection (F16)
|
100% |
1997
149.1 IPS |
|
|
Object Detection (I8)
|
97% |
1450
108.3 IPS |
|
|
Face Detection (F32)
|
100% |
2714
32.3 IPS |
|
|
Face Detection (F16)
|
97% |
4372
52.0 IPS |
|
|
Face Detection (I8)
|
97% |
4377
52.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5579
43.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8643
67.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8640
67.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17284
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26398
34.7 IPS |
|
|
Style Transfer (I8)
|
100% |
26427
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4062
145.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5005
178.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5077
181.3 IPS |
|
|
Text Classification (F32)
|
100% |
2369
3.41 KIPS |
|
|
Text Classification (F16)
|
100% |
3964
5.70 KIPS |
|
|
Text Classification (I8)
|
96% |
3950
5.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1218
22.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1548
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1214
22.3 IPS |
