iPhone 15 Plus
Geekbench ML Score
2364
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 15 2024 11:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| Model | iPhone 15 Plus |
| Model ID | iPhone15,5 |
| Motherboard | D38AP |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
678
126.8 IPS |
|
|
Image Classification (F16)
|
100% |
1074
200.9 IPS |
|
|
Image Classification (I8)
|
99% |
680
127.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1320
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1325
22.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1290
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
11064
13.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
12153
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11747
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1250
93.3 IPS |
|
|
Object Detection (F16)
|
100% |
1234
92.1 IPS |
|
|
Object Detection (I8)
|
97% |
1176
87.8 IPS |
|
|
Face Detection (F32)
|
100% |
3740
44.5 IPS |
|
|
Face Detection (F16)
|
97% |
4276
50.8 IPS |
|
|
Face Detection (I8)
|
96% |
4064
48.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8479
65.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8555
66.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
7693
59.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20226
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
23832
31.3 IPS |
|
|
Style Transfer (I8)
|
100% |
23742
31.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3479
124.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2375
84.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3531
126.1 IPS |
|
|
Text Classification (F32)
|
100% |
382
549.4 IPS |
|
|
Text Classification (F16)
|
100% |
386
554.4 IPS |
|
|
Text Classification (I8)
|
96% |
221
317.2 IPS |
|
|
Machine Translation (F32)
|
100% |
498
9.17 IPS |
|
|
Machine Translation (F16)
|
100% |
505
9.29 IPS |
|
|
Machine Translation (I8)
|
99% |
514
9.46 IPS |
