iPhone 16 Pro
Geekbench AI Score
4637
Single Precision Score
33328
Half Precision Score
45043
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 27 2025 05:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2040
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
14414
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18374
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18123
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23571
382.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9087
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
149657
174.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292202
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
15460
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21220
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3723
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
40255
478.3 IPS |
|
|
Face Detection (Q)
|
100% |
53426
634.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8158
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94123
725.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
157029
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
22478
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245378
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295848
381.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52000
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80577
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6175
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4128
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9408
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10368
179.2 IPS |
