iPhone 15
Geekbench ML Score
2397
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2024 08:53 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
721
135.0 IPS |
|
|
Image Classification (F16)
|
100% |
880
164.7 IPS |
|
|
Image Classification (I8)
|
99% |
1044
195.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1331
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1302
21.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1323
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11469
13.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
12140
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
11959
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1260
94.0 IPS |
|
|
Object Detection (F16)
|
100% |
1188
88.7 IPS |
|
|
Object Detection (I8)
|
97% |
786
58.7 IPS |
|
|
Face Detection (F32)
|
100% |
3924
46.7 IPS |
|
|
Face Detection (F16)
|
98% |
4093
48.7 IPS |
|
|
Face Detection (I8)
|
97% |
5434
64.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8327
64.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8698
67.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
8474
65.7 IPS |
|
|
Style Transfer (F32)
|
100% |
21382
28.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23921
31.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23727
31.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2741
97.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3592
128.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3519
125.7 IPS |
|
|
Text Classification (F32)
|
100% |
365
525.2 IPS |
|
|
Text Classification (F16)
|
100% |
358
514.7 IPS |
|
|
Text Classification (I8)
|
96% |
226
325.4 IPS |
|
|
Machine Translation (F32)
|
100% |
495
9.11 IPS |
|
|
Machine Translation (F16)
|
100% |
502
9.25 IPS |
|
|
Machine Translation (I8)
|
99% |
501
9.23 IPS |
