iPhone 14 Pro Max
Geekbench ML Score
2742
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 15 2024 04:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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% |
1307
244.5 IPS |
|
|
Image Classification (F16)
|
100% |
1258
235.4 IPS |
|
|
Image Classification (I8)
|
99% |
1539
288.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1166
19.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1223
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1200
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
11391
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12098
14.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12066
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1385
103.4 IPS |
|
|
Object Detection (F16)
|
100% |
1448
108.1 IPS |
|
|
Object Detection (I8)
|
97% |
1433
107.0 IPS |
|
|
Face Detection (F32)
|
100% |
4937
58.7 IPS |
|
|
Face Detection (F16)
|
98% |
5528
65.7 IPS |
|
|
Face Detection (I8)
|
97% |
5445
64.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8689
67.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9120
70.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
8549
66.3 IPS |
|
|
Style Transfer (F32)
|
100% |
20963
27.6 IPS |
|
|
Style Transfer (F16)
|
100% |
22984
30.2 IPS |
|
|
Style Transfer (I8)
|
100% |
23424
30.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4340
155.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4493
160.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4333
154.8 IPS |
|
|
Text Classification (F32)
|
100% |
368
529.2 IPS |
|
|
Text Classification (F16)
|
100% |
362
520.7 IPS |
|
|
Text Classification (I8)
|
96% |
241
346.0 IPS |
|
|
Machine Translation (F32)
|
100% |
589
10.8 IPS |
|
|
Machine Translation (F16)
|
100% |
632
11.6 IPS |
|
|
Machine Translation (I8)
|
99% |
590
10.9 IPS |
