iPhone 14 Pro Max
Geekbench ML Score
2733
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 03:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1363
255.0 IPS |
|
|
Image Classification (F16)
|
100% |
1231
230.4 IPS |
|
|
Image Classification (I8)
|
99% |
1480
276.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1127
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1204
20.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1201
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11340
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
12127
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11976
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1372
102.4 IPS |
|
|
Object Detection (F16)
|
100% |
1281
95.6 IPS |
|
|
Object Detection (I8)
|
97% |
1437
107.3 IPS |
|
|
Face Detection (F32)
|
100% |
4920
58.5 IPS |
|
|
Face Detection (F16)
|
98% |
5520
65.6 IPS |
|
|
Face Detection (I8)
|
97% |
5534
65.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
8737
67.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9177
71.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
8527
66.1 IPS |
|
|
Style Transfer (F32)
|
100% |
21068
27.7 IPS |
|
|
Style Transfer (F16)
|
100% |
22867
30.1 IPS |
|
|
Style Transfer (I8)
|
100% |
23225
30.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4371
156.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4375
156.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5101
182.2 IPS |
|
|
Text Classification (F32)
|
100% |
367
526.8 IPS |
|
|
Text Classification (F16)
|
100% |
357
512.7 IPS |
|
|
Text Classification (I8)
|
96% |
235
338.4 IPS |
|
|
Machine Translation (F32)
|
100% |
599
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
625
11.5 IPS |
|
|
Machine Translation (I8)
|
99% |
582
10.7 IPS |
