iPhone 16 Pro
Geekbench AI Score
6145
Single Precision Score
7172
Half Precision Score
6878
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 09:27 AM |
| Views | 1 |
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% |
2980
554.1 IPS |
|
|
Image Classification (HP)
|
100% |
2701
502.3 IPS |
|
|
Image Classification (Q)
|
96% |
3153
588.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4399
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4952
80.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4767
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15148
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17797
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17272
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3170
251.4 IPS |
|
|
Object Detection (HP)
|
100% |
3396
269.3 IPS |
|
|
Object Detection (Q)
|
92% |
3236
258.3 IPS |
|
|
Face Detection (SP)
|
100% |
7981
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
11009
130.8 IPS |
|
|
Face Detection (Q)
|
100% |
8915
105.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13664
105.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15981
123.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
14820
115.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31826
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39689
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39553
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7585
280.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8183
302.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7084
261.6 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6112
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6093
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1252
21.6 IPS |
