iPhone 16 Pro
Geekbench AI Score
6169
Single Precision Score
7186
Half Precision Score
6906
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 11:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3028
563.2 IPS |
|
|
Image Classification (HP)
|
100% |
2670
496.4 IPS |
|
|
Image Classification (Q)
|
96% |
3171
592.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4510
73.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4992
80.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4821
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15730
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17659
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17149
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3199
253.8 IPS |
|
|
Object Detection (HP)
|
100% |
3767
298.8 IPS |
|
|
Object Detection (Q)
|
92% |
3239
258.6 IPS |
|
|
Face Detection (SP)
|
100% |
7812
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
11056
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
8810
104.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13631
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15274
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14645
114.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33204
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39039
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39432
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8139
300.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8322
307.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7624
281.5 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5921
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1282
22.2 IPS |
