iPhone 16 Pro
Geekbench AI Score
4620
Single Precision Score
7851
Half Precision Score
6222
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 25 2025 03:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3305
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9161
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18346
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15299
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2652
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7614
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4211
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8154
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14392
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9938
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20347
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37323
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30742
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5293
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7316
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5103
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5964
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5934
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4313
74.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7423
128.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7350
127.0 IPS |
