iPhone 16 Pro
Geekbench AI Score
6002
Single Precision Score
7226
Half Precision Score
6757
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2936
546.0 IPS |
|
|
Image Classification (HP)
|
100% |
3015
560.6 IPS |
|
|
Image Classification (Q)
|
96% |
3154
589.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4332
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4896
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4715
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15104
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17726
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17053
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3313
262.8 IPS |
|
|
Object Detection (HP)
|
100% |
3675
291.5 IPS |
|
|
Object Detection (Q)
|
92% |
3177
253.6 IPS |
|
|
Face Detection (SP)
|
100% |
7170
85.2 IPS |
|
|
Face Detection (HP)
|
100% |
10463
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
8163
97.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12826
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15457
119.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13999
109.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31138
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39174
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38901
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7521
277.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8152
301.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7146
263.9 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6054
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1203
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1281
22.1 IPS |
