iPhone 16 Pro
Geekbench AI Score
4595
Single Precision Score
33350
Half Precision Score
45179
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 25 2026 08:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
14053
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
18913
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18099
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23666
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8800
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
151090
176.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292852
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
15448
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
20842
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
40429
480.4 IPS |
|
|
Face Detection (Q)
|
100% |
53474
635.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8121
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94373
727.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
156582
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
22017
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245562
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
295417
381.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5559
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51130
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80020
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6194
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6145
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9664
166.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10664
184.3 IPS |
