iPhone 16 Pro
Geekbench AI Score
4587
Single Precision Score
7735
Half Precision Score
6179
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 12:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
3429
637.8 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2830
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8881
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17297
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14847
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3732
297.1 IPS |
|
|
Object Detection (Q)
|
94% |
2622
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
3692
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
7040
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
4056
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7984
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13760
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9500
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21450
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36637
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29843
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7158
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5093
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6178
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6080
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4217
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7804
134.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7716
133.3 IPS |
