iPhone 16 Pro
Geekbench AI Score
4616
Single Precision Score
33435
Half Precision Score
44858
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 04:16 PM |
| Views | 1 |
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% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
14504
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
17842
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18132
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23924
387.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8906
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151916
177.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291664
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.2 IPS |
|
|
Object Detection (HP)
|
100% |
15649
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21742
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3569
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
40661
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
55196
655.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8087
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94231
726.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
150214
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
22379
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245615
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
295640
381.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5510
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51721
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78603
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6094
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9403
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10382
179.4 IPS |
