iPhone 16 Pro
Geekbench AI Score
4675
Single Precision Score
33683
Half Precision Score
45311
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 10:32 AM |
| Views | 6 |
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% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
14918
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
18939
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18093
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23709
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8902
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152107
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292375
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
15671
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21293
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3794
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
40217
477.9 IPS |
|
|
Face Detection (Q)
|
100% |
52931
628.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8224
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95005
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
151645
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
22683
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246229
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
295884
381.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5630
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52967
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82382
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6209
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6275
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4207
72.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9444
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10629
183.7 IPS |
