iPhone 16 Pro
Geekbench AI Score
4617
Single Precision Score
33621
Half Precision Score
45445
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 15 2025 11:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2050
381.3 IPS |
|
|
Image Classification (HP)
|
100% |
14808
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
19109
3.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18138
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23618
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8884
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151848
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290896
340.9 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
15562
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21260
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
40831
485.2 IPS |
|
|
Face Detection (Q)
|
100% |
53682
637.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8124
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94299
726.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
158579
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
22003
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245460
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
296844
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52772
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81462
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3727
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6178
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6227
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9438
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10503
181.5 IPS |
