iPhone 16 Pro
Geekbench AI Score
4779
Single Precision Score
33523
Half Precision Score
45162
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | November 02 2025 08:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2059
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
14550
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18665
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18130
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23658
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9650
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
152800
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292273
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2376
188.5 IPS |
|
|
Object Detection (HP)
|
100% |
15733
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21409
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
40354
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
53224
632.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8344
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94411
727.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
151505
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
23588
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245308
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
296121
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5816
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52050
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83149
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6176
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9410
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10551
182.3 IPS |
