iPhone 16 Pro
Geekbench AI Score
4650
Single Precision Score
7845
Half Precision Score
6246
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 08:16 PM |
| Views | 3 |
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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.2 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3341
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9414
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18334
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15359
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.3 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
7561
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4157
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14293
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9937
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20488
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37384
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31007
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5452
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7404
273.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5196
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5904
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7368
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7389
127.7 IPS |
