iPhone 16 Pro
Geekbench AI Score
4820
Single Precision Score
33009
Half Precision Score
45430
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | October 11 2025 12:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
15137
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19192
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18342
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24099
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10016
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153775
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293019
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
16604
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22825
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
40219
477.9 IPS |
|
|
Face Detection (Q)
|
100% |
56652
673.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8510
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95617
736.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159758
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22363
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244505
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301420
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5970
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51421
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87547
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4395
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4321
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4332
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10198
175.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11731
202.7 IPS |
