iPhone 15
Geekbench AI Score
2990
Single Precision Score
4615
Half Precision Score
3973
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 03:43 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% |
1455
270.5 IPS |
|
|
Image Classification (HP)
|
100% |
1905
354.4 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1785
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5236
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
12511
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10773
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
97% |
2146
170.8 IPS |
|
|
Object Detection (Q)
|
94% |
1628
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
4170
49.6 IPS |
|
|
Face Detection (Q)
|
100% |
2651
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4726
36.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
7907
61.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5882
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15238
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24319
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20724
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3457
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4624
170.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3479
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4383
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4311
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2670
46.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4494
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4456
77.0 IPS |
