iPhone 16 Pro
Geekbench AI Score
4667
Single Precision Score
33495
Half Precision Score
45204
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 01:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2062
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
14515
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
18721
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18113
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23521
381.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9299
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152105
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291638
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
15678
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
20958
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
40408
480.1 IPS |
|
|
Face Detection (Q)
|
100% |
55388
658.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8232
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94248
726.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
154000
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
22553
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245871
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295769
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5622
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52119
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80760
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6216
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6270
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4086
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9348
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10363
179.1 IPS |
