iPhone 16 Pro
Geekbench AI Score
5976
Single Precision Score
7130
Half Precision Score
6721
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 26 2026 07:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2814
523.2 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.1 IPS |
|
|
Image Classification (Q)
|
96% |
3095
578.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4270
69.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4876
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4682
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14928
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17648
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16916
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3069
243.4 IPS |
|
|
Object Detection (HP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (Q)
|
92% |
3127
249.6 IPS |
|
|
Face Detection (SP)
|
100% |
7224
85.8 IPS |
|
|
Face Detection (HP)
|
100% |
10553
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
8409
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13218
101.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15040
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13879
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31551
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38871
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38175
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7492
276.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8186
302.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7135
263.5 IPS |
|
|
Text Classification (SP)
|
100% |
3670
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6052
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1276
22.1 IPS |
