iPhone 16 Pro
Geekbench AI Score
4636
Single Precision Score
33688
Half Precision Score
45801
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 11:58 AM |
| 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% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
14747
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
19572
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18142
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23448
380.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8641
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
149603
174.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
286149
335.4 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
16026
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21993
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
3657
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
40128
476.8 IPS |
|
|
Face Detection (Q)
|
100% |
55988
665.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8310
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94798
730.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
153826
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
22342
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245897
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298706
385.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51783
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83096
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3750
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6257
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6266
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4211
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9684
166.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10502
181.5 IPS |
