iPhone 15
Geekbench AI Score
3508
Single Precision Score
22910
Half Precision Score
25499
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | LWD |
| Upload Date | February 01 2025 10:50 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
10642
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
11853
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14034
227.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18244
295.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
96375
112.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102165
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
13016
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14998
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31414
373.3 IPS |
|
|
Face Detection (Q)
|
100% |
40576
482.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6097
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75516
581.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
97521
762.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18311
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
172616
221.9 IPS |
|
|
Style Transfer (Q)
|
96% |
173380
223.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32921
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38092
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2614
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
1617
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7576
130.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8300
143.4 IPS |
