iPhone 16 Pro
Geekbench AI Score
6052
Single Precision Score
7217
Half Precision Score
6804
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 02:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2968
552.0 IPS |
|
|
Image Classification (HP)
|
100% |
3146
585.0 IPS |
|
|
Image Classification (Q)
|
96% |
3135
585.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4385
71.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4758
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15166
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18009
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17297
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3227
256.0 IPS |
|
|
Object Detection (HP)
|
100% |
3376
267.8 IPS |
|
|
Object Detection (Q)
|
92% |
3167
252.8 IPS |
|
|
Face Detection (SP)
|
100% |
7233
85.9 IPS |
|
|
Face Detection (HP)
|
100% |
10601
126.0 IPS |
|
|
Face Detection (Q)
|
100% |
8320
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13165
101.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15594
120.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
14017
109.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31557
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39135
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38316
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7165
264.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8154
301.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7158
264.3 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6214
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1305
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1341
23.2 IPS |
