iPhone 16 Pro
Geekbench AI Score
6123
Single Precision Score
7075
Half Precision Score
6719
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 09:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2982
554.6 IPS |
|
|
Image Classification (HP)
|
100% |
2810
522.6 IPS |
|
|
Image Classification (Q)
|
96% |
3135
585.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4455
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4935
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4746
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15627
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16355
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15946
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3224
255.7 IPS |
|
|
Object Detection (HP)
|
100% |
3689
292.6 IPS |
|
|
Object Detection (Q)
|
92% |
3151
251.5 IPS |
|
|
Face Detection (SP)
|
100% |
7713
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10604
126.0 IPS |
|
|
Face Detection (Q)
|
100% |
8587
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13529
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14484
111.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13447
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33153
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37539
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37857
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8020
296.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8445
311.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7577
279.8 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6069
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6052
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1253
21.7 IPS |
