iPhone 14
Geekbench ML Score
2358
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2024 09:44 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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% |
647
121.2 IPS |
|
|
Image Classification (F16)
|
100% |
1083
202.6 IPS |
|
|
Image Classification (I8)
|
99% |
1024
191.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1263
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1279
21.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1298
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10746
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
11914
14.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
11745
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1167
87.2 IPS |
|
|
Object Detection (F16)
|
100% |
1188
88.7 IPS |
|
|
Object Detection (I8)
|
97% |
1141
85.2 IPS |
|
|
Face Detection (F32)
|
100% |
4335
51.5 IPS |
|
|
Face Detection (F16)
|
98% |
3996
47.5 IPS |
|
|
Face Detection (I8)
|
97% |
3309
39.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7535
58.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8336
64.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
7768
60.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18994
25.0 IPS |
|
|
Style Transfer (F16)
|
100% |
23533
31.0 IPS |
|
|
Style Transfer (I8)
|
100% |
23592
31.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3195
114.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3563
127.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3557
127.0 IPS |
|
|
Text Classification (F32)
|
100% |
367
527.5 IPS |
|
|
Text Classification (F16)
|
100% |
366
525.6 IPS |
|
|
Text Classification (I8)
|
96% |
228
327.7 IPS |
|
|
Machine Translation (F32)
|
100% |
472
8.69 IPS |
|
|
Machine Translation (F16)
|
100% |
502
9.24 IPS |
|
|
Machine Translation (I8)
|
99% |
488
8.98 IPS |
