iPhone 16 Pro
Geekbench AI Score
4709
Single Precision Score
33015
Half Precision Score
46755
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | August 24 2025 04:59 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
15274
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
21535
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18354
297.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24340
394.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9459
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
153184
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
291317
341.4 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.7 IPS |
|
|
Object Detection (HP)
|
100% |
16411
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22941
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
40136
476.9 IPS |
|
|
Face Detection (Q)
|
100% |
57868
687.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95928
739.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162950
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21274
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244775
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300896
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5639
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50181
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86195
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4624
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5138
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9984
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11343
196.0 IPS |
