iPhone 16 Pro
Geekbench AI Score
4522
Single Precision Score
33378
Half Precision Score
45192
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:07 AM |
| Views | 2 |
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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
14824
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
19163
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17943
290.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23376
378.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8905
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
148058
172.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
289270
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2130
168.9 IPS |
|
|
Object Detection (HP)
|
100% |
15768
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21547
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3702
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
40330
479.2 IPS |
|
|
Face Detection (Q)
|
100% |
54329
645.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8169
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94045
724.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
152968
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
22584
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246877
317.4 IPS |
|
|
Style Transfer (Q)
|
96% |
293849
379.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50934
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80372
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6123
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6132
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9465
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10576
182.8 IPS |
