iPhone 15
Geekbench AI Score
3494
Single Precision Score
23508
Half Precision Score
27426
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 06:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
10704
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
13431
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13872
224.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19139
310.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6289
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
98914
115.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
101860
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
100% |
12909
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
15336
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
32154
382.1 IPS |
|
|
Face Detection (Q)
|
100% |
40475
480.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6047
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
76371
588.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
97187
759.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17367
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
178705
229.7 IPS |
|
|
Style Transfer (Q)
|
96% |
181909
234.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3972
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32809
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36998
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2697
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3643
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7804
134.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8400
145.2 IPS |
