iPhone 16 Pro
Geekbench AI Score
4369
Single Precision Score
32671
Half Precision Score
44556
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 09 2026 06:08 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
14725
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18936
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18097
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22902
371.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7143
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
136567
159.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
287050
336.4 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
15658
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21280
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3595
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
40602
482.4 IPS |
|
|
Face Detection (Q)
|
100% |
53339
633.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7751
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
93711
722.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
148743
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
20846
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244140
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
294206
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5192
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50262
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79499
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6175
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6121
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4037
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8435
145.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10249
177.1 IPS |
