iPhone 16 Pro
Geekbench AI Score
6054
Single Precision Score
7094
Half Precision Score
6788
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3036
564.6 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.5 IPS |
|
|
Image Classification (Q)
|
96% |
3178
593.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4368
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4950
80.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4733
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15152
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17776
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17147
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3141
249.1 IPS |
|
|
Object Detection (HP)
|
100% |
3386
268.6 IPS |
|
|
Object Detection (Q)
|
92% |
3180
253.8 IPS |
|
|
Face Detection (SP)
|
100% |
7323
87.0 IPS |
|
|
Face Detection (HP)
|
100% |
10560
125.5 IPS |
|
|
Face Detection (Q)
|
100% |
8402
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12976
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15071
116.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
14381
112.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31171
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35424
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38985
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7450
275.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8017
296.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7092
261.9 IPS |
|
|
Text Classification (SP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6199
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6144
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1235
21.3 IPS |
