iPhone 16 Pro
Geekbench AI Score
4680
Single Precision Score
7887
Half Precision Score
6271
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 08 2025 02:50 AM |
| Views | 5 |
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% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.1 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9584
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18588
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15633
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7618
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4265
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14451
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10077
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20789
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37779
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31289
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5508
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7358
271.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5114
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5974
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5859
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7394
127.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7405
128.0 IPS |
