iPhone 15
Geekbench AI Score
3018
Single Precision Score
4647
Half Precision Score
3882
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | August 26 2024 12:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1389
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
1826
339.6 IPS |
|
|
Image Classification (Q)
|
99% |
1875
349.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1149
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5246
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
12820
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10960
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2181
173.6 IPS |
|
|
Object Detection (Q)
|
94% |
1642
130.9 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
4233
50.3 IPS |
|
|
Face Detection (Q)
|
100% |
2702
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4917
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8168
63.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4136
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15916
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25134
32.3 IPS |
|
|
Style Transfer (Q)
|
100% |
25096
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3533
130.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4878
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3579
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2559
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4263
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4346
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2811
48.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4516
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4600
79.5 IPS |
