iPhone 15
Geekbench AI Score
2083
Single Precision Score
12663
Half Precision Score
13302
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:48 AM |
| Views | 12 |
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% |
1231
229.0 IPS |
|
|
Image Classification (HP)
|
100% |
5718
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
6070
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5080
82.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5106
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5495
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
82065
95.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
68416
80.2 IPS |
|
|
Object Detection (SP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (HP)
|
100% |
7437
589.9 IPS |
|
|
Object Detection (Q)
|
93% |
8175
652.3 IPS |
|
|
Face Detection (SP)
|
100% |
1777
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
10988
130.6 IPS |
|
|
Face Detection (Q)
|
100% |
13128
156.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3419
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
41267
317.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
46313
358.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9285
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121938
156.8 IPS |
|
|
Style Transfer (Q)
|
100% |
123158
158.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2670
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16721
617.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21091
781.4 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3313
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1408
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1913
33.1 IPS |
