iPhone 14
Geekbench ML Score
2394
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 06 2024 03:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
670
125.4 IPS |
|
|
Image Classification (F16)
|
100% |
1086
203.2 IPS |
|
|
Image Classification (I8)
|
99% |
715
133.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1256
21.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1288
21.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1298
21.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10730
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
11756
14.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
11533
14.0 IPS |
|
|
Object Detection (F32)
|
100% |
1277
95.3 IPS |
|
|
Object Detection (F16)
|
100% |
1156
86.3 IPS |
|
|
Object Detection (I8)
|
97% |
1206
90.1 IPS |
|
|
Face Detection (F32)
|
100% |
4457
53.0 IPS |
|
|
Face Detection (F16)
|
98% |
4311
51.3 IPS |
|
|
Face Detection (I8)
|
97% |
3894
46.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8811
68.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9104
70.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
8485
65.8 IPS |
|
|
Style Transfer (F32)
|
100% |
19036
25.0 IPS |
|
|
Style Transfer (F16)
|
100% |
23547
31.0 IPS |
|
|
Style Transfer (I8)
|
100% |
23654
31.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3683
131.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3273
116.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3585
128.0 IPS |
|
|
Text Classification (F32)
|
100% |
370
531.7 IPS |
|
|
Text Classification (F16)
|
100% |
368
528.5 IPS |
|
|
Text Classification (I8)
|
96% |
231
332.0 IPS |
|
|
Machine Translation (F32)
|
100% |
489
8.99 IPS |
|
|
Machine Translation (F16)
|
100% |
495
9.11 IPS |
|
|
Machine Translation (I8)
|
99% |
472
8.69 IPS |
