iPhone 16 Pro
Geekbench AI Score
6106
Single Precision Score
7026
Half Precision Score
6796
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Appler |
| Upload Date | September 29 2025 12:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2928
544.5 IPS |
|
|
Image Classification (HP)
|
100% |
2720
505.8 IPS |
|
|
Image Classification (Q)
|
96% |
3102
579.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4421
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4748
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15624
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17179
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16913
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3159
250.6 IPS |
|
|
Object Detection (HP)
|
100% |
3450
273.7 IPS |
|
|
Object Detection (Q)
|
92% |
3163
252.5 IPS |
|
|
Face Detection (SP)
|
100% |
7922
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
10740
127.6 IPS |
|
|
Face Detection (Q)
|
100% |
8636
102.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13494
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14867
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13873
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32882
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38203
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38526
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7990
295.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8202
302.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7528
278.0 IPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5937
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5922
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1297
22.4 IPS |
