iPhone 16 Pro
Geekbench AI Score
4504
Single Precision Score
33373
Half Precision Score
45113
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 10:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2032
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
14652
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18732
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18119
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23629
383.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8676
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146886
171.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
288314
337.9 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
15945
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21340
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
40334
479.3 IPS |
|
|
Face Detection (Q)
|
100% |
53211
632.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7811
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94244
726.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
153077
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20817
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244757
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296929
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5157
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50896
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81754
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6203
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6205
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4090
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9386
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10452
180.6 IPS |
