iPhone 15
Geekbench ML Score
2452
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 24 2024 12:16 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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% |
1064
199.1 IPS |
|
|
Image Classification (F16)
|
100% |
1078
201.7 IPS |
|
|
Image Classification (I8)
|
99% |
989
185.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1313
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1294
21.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1326
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11622
14.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
11994
14.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11754
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1142
85.3 IPS |
|
|
Object Detection (F16)
|
100% |
1184
88.4 IPS |
|
|
Object Detection (I8)
|
97% |
1076
80.3 IPS |
|
|
Face Detection (F32)
|
100% |
3712
44.1 IPS |
|
|
Face Detection (F16)
|
97% |
4128
49.1 IPS |
|
|
Face Detection (I8)
|
96% |
4409
52.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
8228
63.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8428
65.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
7437
57.7 IPS |
|
|
Style Transfer (F32)
|
100% |
21414
28.2 IPS |
|
|
Style Transfer (F16)
|
100% |
23869
31.4 IPS |
|
|
Style Transfer (I8)
|
100% |
23775
31.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3291
117.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3510
125.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3551
126.8 IPS |
|
|
Text Classification (F32)
|
100% |
386
554.2 IPS |
|
|
Text Classification (F16)
|
100% |
385
553.8 IPS |
|
|
Text Classification (I8)
|
96% |
230
331.0 IPS |
|
|
Machine Translation (F32)
|
100% |
484
8.90 IPS |
|
|
Machine Translation (F16)
|
100% |
518
9.53 IPS |
|
|
Machine Translation (I8)
|
99% |
541
9.96 IPS |
