iPhone 16 Pro
Geekbench AI Score
4641
Single Precision Score
7835
Half Precision Score
6247
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 02:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
3411
634.3 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3334
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9291
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18210
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15544
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3915
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7479
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4156
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8206
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14334
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9896
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20449
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37364
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30608
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5472
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7351
271.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5200
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5963
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5916
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4310
74.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7379
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7425
128.3 IPS |
