iPhone 15
Geekbench AI Score
2729
Single Precision Score
3084
Half Precision Score
2531
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | December 14 2024 03:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
848
157.7 IPS |
|
|
Image Classification (HP)
|
100% |
855
158.9 IPS |
|
|
Image Classification (Q)
|
97% |
889
165.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2524
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2425
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11724
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11408
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
7360
8.63 IPS |
|
|
Object Detection (SP)
|
100% |
1041
82.6 IPS |
|
|
Object Detection (HP)
|
100% |
1143
90.7 IPS |
|
|
Object Detection (Q)
|
91% |
722
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
4505
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
5600
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3944
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8021
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8255
63.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
5458
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21395
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23690
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21497
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3560
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3353
123.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2750
101.5 IPS |
|
|
Text Classification (SP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2114
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (HP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (Q)
|
98% |
351
6.06 IPS |
