iPhone 16 Pro
Geekbench AI Score
4502
Single Precision Score
32972
Half Precision Score
44420
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 07:49 AM |
| 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
14435
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18412
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18071
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23667
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8484
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
147232
171.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
283767
332.6 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
15723
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
20657
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
3690
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
40458
480.7 IPS |
|
|
Face Detection (Q)
|
100% |
53725
638.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7867
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
93776
722.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
152242
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21194
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
242988
312.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295455
381.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5183
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50125
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78315
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3613
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
5937
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4120
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9167
157.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10482
181.1 IPS |
