iPhone 15
Geekbench AI Score
2158
Single Precision Score
12702
Half Precision Score
14709
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1258
233.9 IPS |
|
|
Image Classification (HP)
|
100% |
5605
1.04 KIPS |
|
|
Image Classification (Q)
|
97% |
6314
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
718
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5148
83.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9556
154.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5309
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
79011
92.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
87286
102.3 IPS |
|
|
Object Detection (SP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (HP)
|
100% |
7793
618.1 IPS |
|
|
Object Detection (Q)
|
93% |
8459
674.9 IPS |
|
|
Face Detection (SP)
|
100% |
1902
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
10997
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
13032
154.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3544
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42836
330.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
51436
402.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9586
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
122607
157.6 IPS |
|
|
Style Transfer (Q)
|
96% |
118684
153.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2884
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16595
612.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21229
783.9 IPS |
|
|
Text Classification (SP)
|
100% |
1355
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3156
4.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3015
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2035
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2091
36.1 IPS |
