iPhone 16 Pro
Geekbench AI Score
4731
Single Precision Score
33451
Half Precision Score
45144
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:36 AM |
| Views | 1 |
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% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
14246
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
18924
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18001
291.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23645
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9388
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152402
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293333
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
15701
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21453
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
40066
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
52783
627.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8322
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94408
727.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
151960
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
23333
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246221
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
294306
379.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5671
209.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51188
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80416
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6306
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6217
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4261
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9510
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10581
182.8 IPS |
