iPhone 16 Pro
Geekbench AI Score
4544
Single Precision Score
33269
Half Precision Score
45823
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:34 PM |
| Views | 2 |
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% |
2055
382.2 IPS |
|
|
Image Classification (HP)
|
100% |
15419
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20119
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18249
295.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23930
387.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9096
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152092
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
290825
340.9 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
16404
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22772
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3811
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
40160
477.2 IPS |
|
|
Face Detection (Q)
|
100% |
57617
684.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8224
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94863
730.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159504
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19987
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245550
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301966
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5328
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51823
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85220
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4897
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4892
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3912
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9967
171.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11066
191.2 IPS |
