iPhone 14 Pro Max
Geekbench ML Score
2756
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 05:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1183
221.5 IPS |
|
|
Image Classification (F16)
|
100% |
1041
194.8 IPS |
|
|
Image Classification (I8)
|
99% |
1306
244.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1154
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1203
20.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1201
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11046
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
11515
13.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
11922
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1305
97.5 IPS |
|
|
Object Detection (F16)
|
100% |
1371
102.4 IPS |
|
|
Object Detection (I8)
|
97% |
1415
105.7 IPS |
|
|
Face Detection (F32)
|
100% |
4917
58.5 IPS |
|
|
Face Detection (F16)
|
97% |
5603
66.6 IPS |
|
|
Face Detection (I8)
|
96% |
5549
66.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8426
65.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9062
70.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
8418
65.3 IPS |
|
|
Style Transfer (F32)
|
100% |
19810
26.1 IPS |
|
|
Style Transfer (F16)
|
100% |
22410
29.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23167
30.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4086
145.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4349
155.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4401
157.2 IPS |
|
|
Text Classification (F32)
|
100% |
565
812.1 IPS |
|
|
Text Classification (F16)
|
100% |
381
547.9 IPS |
|
|
Text Classification (I8)
|
96% |
410
590.0 IPS |
|
|
Machine Translation (F32)
|
100% |
604
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
635
11.7 IPS |
|
|
Machine Translation (I8)
|
99% |
589
10.8 IPS |
