iPhone 16
Geekbench AI Score
4314
Single Precision Score
33348
Half Precision Score
44779
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 08 2025 08:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2034
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
14788
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18575
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18112
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23870
386.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8084
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
140084
163.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
278964
327.0 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
100% |
15604
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21210
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
40865
485.6 IPS |
|
|
Face Detection (Q)
|
100% |
50795
603.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7374
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93937
723.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
154046
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
18788
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
243827
313.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297081
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51490
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81027
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6241
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6186
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9662
166.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10606
183.3 IPS |
