iPhone 16 Pro
Geekbench AI Score
4631
Single Precision Score
33079
Half Precision Score
45820
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 05:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
15339
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20593
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18329
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24106
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8934
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151288
176.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291216
341.3 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
100% |
16294
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22696
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
40297
478.8 IPS |
|
|
Face Detection (Q)
|
100% |
57353
681.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8272
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95959
739.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160129
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20201
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244474
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301403
388.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5564
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50638
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84655
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4600
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4529
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10281
177.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11715
202.5 IPS |
