iPhone 16 Pro
Geekbench AI Score
6703
Single Precision Score
7670
Half Precision Score
7351
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ARSCON |
| Upload Date | February 18 2026 08:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
3220
598.7 IPS |
|
|
Image Classification (HP)
|
100% |
3299
613.6 IPS |
|
|
Image Classification (Q)
|
96% |
3294
615.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4289
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4923
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4740
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14960
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17957
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17150
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3252
258.0 IPS |
|
|
Object Detection (HP)
|
100% |
3484
276.4 IPS |
|
|
Object Detection (Q)
|
91% |
3595
287.3 IPS |
|
|
Face Detection (SP)
|
100% |
7257
86.2 IPS |
|
|
Face Detection (HP)
|
100% |
11074
131.6 IPS |
|
|
Face Detection (Q)
|
100% |
10508
124.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12686
97.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15200
117.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14376
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31780
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40775
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38538
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7593
280.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8389
309.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7343
271.2 IPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6222
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6184
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1936
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1813
31.3 IPS |
