iPhone 16 Pro
Geekbench AI Score
4774
Single Precision Score
33263
Half Precision Score
44905
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mbuurman |
| Upload Date | September 20 2025 03:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
14256
2.65 KIPS |
|
|
Image Classification (Q)
|
97% |
18172
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18118
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23622
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9801
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152928
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294076
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
15581
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21191
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3837
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
40202
477.7 IPS |
|
|
Face Detection (Q)
|
100% |
53133
631.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8387
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94256
726.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
153374
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
24042
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245704
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
296351
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5742
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51107
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80278
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6119
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6104
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4208
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9256
159.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10532
182.0 IPS |
