iPhone 15
Geekbench AI Score
3158
Single Precision Score
19241
Half Precision Score
22035
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KipR |
| Upload Date | October 25 2025 11:16 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
7231
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
9349
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14586
236.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19245
312.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5137
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
92238
107.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
99784
117.0 IPS |
|
|
Object Detection (SP)
|
100% |
1355
107.4 IPS |
|
|
Object Detection (HP)
|
100% |
8331
660.8 IPS |
|
|
Object Detection (Q)
|
91% |
9948
794.9 IPS |
|
|
Face Detection (SP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
31455
373.8 IPS |
|
|
Face Detection (Q)
|
100% |
39764
472.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5328
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55812
430.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53101
415.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15574
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
161545
207.7 IPS |
|
|
Style Transfer (Q)
|
96% |
162526
209.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3494
129.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20606
760.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26321
971.9 IPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1993
2.66 KIPS |
|
|
Text Classification (Q)
|
93% |
1955
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3300
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7369
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8558
147.9 IPS |
