iPhone 15
Geekbench ML Score
2345
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 02 2024 01:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
645
120.7 IPS |
|
|
Image Classification (F16)
|
100% |
551
103.1 IPS |
|
|
Image Classification (I8)
|
99% |
888
166.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1297
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1312
21.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1299
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
11208
13.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
11679
14.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
11802
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1131
84.4 IPS |
|
|
Object Detection (F16)
|
100% |
1267
94.6 IPS |
|
|
Object Detection (I8)
|
97% |
1174
87.6 IPS |
|
|
Face Detection (F32)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (F16)
|
97% |
3572
42.5 IPS |
|
|
Face Detection (I8)
|
96% |
5448
64.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7113
55.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8530
66.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
6929
53.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20632
27.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23027
30.3 IPS |
|
|
Style Transfer (I8)
|
100% |
23666
31.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3574
127.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3522
125.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3532
126.1 IPS |
|
|
Text Classification (F32)
|
100% |
382
548.8 IPS |
|
|
Text Classification (F16)
|
100% |
385
553.4 IPS |
|
|
Text Classification (I8)
|
96% |
231
332.4 IPS |
|
|
Machine Translation (F32)
|
100% |
495
9.12 IPS |
|
|
Machine Translation (F16)
|
100% |
496
9.12 IPS |
|
|
Machine Translation (I8)
|
99% |
550
10.1 IPS |
