iPhone 15
Geekbench AI Score
2600
Single Precision Score
2859
Half Precision Score
2573
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | August 26 2024 12:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
698
129.8 IPS |
|
|
Image Classification (HP)
|
100% |
846
157.3 IPS |
|
|
Image Classification (Q)
|
99% |
1084
202.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2474
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11580
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12270
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11121
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (HP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (Q)
|
92% |
1132
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
4160
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
5988
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3758
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8379
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8620
66.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
8392
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20596
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22966
29.5 IPS |
|
|
Style Transfer (Q)
|
100% |
22673
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3501
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3769
139.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3030
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
368
490.9 IPS |
|
|
Text Classification (HP)
|
100% |
376
501.3 IPS |
|
|
Text Classification (Q)
|
93% |
224
301.3 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
779
13.5 IPS |
