iPhone 16 Pro
Geekbench AI Score
5971
Single Precision Score
7170
Half Precision Score
6669
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 12 2026 06:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
3016
560.8 IPS |
|
|
Image Classification (HP)
|
100% |
3068
570.5 IPS |
|
|
Image Classification (Q)
|
96% |
2902
541.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4290
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4876
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4702
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15078
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18000
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17373
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2998
237.8 IPS |
|
|
Object Detection (HP)
|
100% |
3269
259.3 IPS |
|
|
Object Detection (Q)
|
92% |
3068
244.9 IPS |
|
|
Face Detection (SP)
|
100% |
7247
86.1 IPS |
|
|
Face Detection (HP)
|
100% |
10473
124.4 IPS |
|
|
Face Detection (Q)
|
100% |
8435
100.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12852
99.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15261
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14017
109.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31111
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40100
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37944
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7640
282.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8483
313.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7252
267.8 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6198
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6164
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1194
20.6 IPS |
