iPhone 15
Geekbench AI Score
3027
Single Precision Score
4672
Half Precision Score
3996
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 03:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1459
271.4 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.2 IPS |
|
|
Image Classification (Q)
|
96% |
1457
272.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1773
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5422
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
12862
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10971
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
97% |
2177
173.3 IPS |
|
|
Object Detection (Q)
|
94% |
1645
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
2541
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4195
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
2638
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4822
37.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8019
62.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5938
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15543
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25025
32.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20556
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3450
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3578
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2554
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4339
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4335
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2828
48.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4463
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4464
77.2 IPS |
