iPhone 15
Geekbench AI Score
3526
Single Precision Score
22683
Half Precision Score
26546
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | krish1108 |
| Upload Date | February 27 2025 01:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1412
262.6 IPS |
|
|
Image Classification (HP)
|
100% |
10443
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12860
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14142
229.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18531
300.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6623
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
96512
112.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102958
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
13078
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
15020
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31042
368.8 IPS |
|
|
Face Detection (Q)
|
100% |
40357
479.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6198
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
76182
586.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
98134
767.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18234
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
178164
229.0 IPS |
|
|
Style Transfer (Q)
|
96% |
178785
230.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4131
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32867
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40104
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1794
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1990
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7788
134.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8347
144.2 IPS |
