iPhone 16 Pro
Geekbench AI Score
6116
Single Precision Score
7092
Half Precision Score
6765
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 04:09 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
3064
569.8 IPS |
|
|
Image Classification (HP)
|
100% |
2855
530.9 IPS |
|
|
Image Classification (Q)
|
96% |
3154
589.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4451
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4922
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4734
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15621
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17117
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16969
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3129
248.2 IPS |
|
|
Object Detection (HP)
|
100% |
3450
273.6 IPS |
|
|
Object Detection (Q)
|
92% |
3171
253.1 IPS |
|
|
Face Detection (SP)
|
100% |
7702
91.5 IPS |
|
|
Face Detection (HP)
|
100% |
10808
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
8542
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13381
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14862
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13856
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32687
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38062
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38112
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8110
299.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8312
306.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7518
277.6 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6092
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5894
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1252
21.6 IPS |
