iPhone 16 Pro
Geekbench AI Score
4530
Single Precision Score
7822
Half Precision Score
6264
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | akbaqami |
| Upload Date | April 14 2026 05:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4.1 |
| 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% |
1973
367.0 IPS |
|
|
Image Classification (HP)
|
100% |
3438
639.3 IPS |
|
|
Image Classification (Q)
|
96% |
2296
428.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3143
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6881
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
15570
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13561
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.6 IPS |
|
|
Object Detection (HP)
|
97% |
3394
270.2 IPS |
|
|
Object Detection (Q)
|
94% |
2475
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
6750
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3828
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7004
54.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
12818
99.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9010
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19206
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35269
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28915
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4941
182.5 IPS |
|
|
Text Classification (SP)
|
99% |
6985
9.32 KIPS |
|
|
Text Classification (HP)
|
99% |
10465
14.0 KIPS |
|
|
Text Classification (Q)
|
93% |
10826
14.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4107
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7487
129.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7203
124.5 IPS |
