iPhone 16 Pro
Geekbench AI Score
6067
Single Precision Score
7240
Half Precision Score
6893
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | November 02 2025 08:36 AM |
| Views | 5 |
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% |
2954
549.4 IPS |
|
|
Image Classification (HP)
|
100% |
3003
558.4 IPS |
|
|
Image Classification (Q)
|
96% |
3158
589.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4381
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4967
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4796
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15192
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18168
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17611
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
3133
248.5 IPS |
|
|
Object Detection (HP)
|
100% |
3464
274.7 IPS |
|
|
Object Detection (Q)
|
92% |
3259
260.1 IPS |
|
|
Face Detection (SP)
|
100% |
7498
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
10778
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
8641
102.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13232
101.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15459
119.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
14506
113.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31698
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39903
51.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38671
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7593
280.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8342
308.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7201
265.9 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6177
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1293
22.4 IPS |
