iPhone 16 Pro
Geekbench AI Score
6065
Single Precision Score
6941
Half Precision Score
6938
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 10:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2913
541.7 IPS |
|
|
Image Classification (HP)
|
100% |
1983
368.8 IPS |
|
|
Image Classification (Q)
|
96% |
3115
581.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4303
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4928
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4751
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15028
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17657
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17495
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
3074
243.9 IPS |
|
|
Object Detection (HP)
|
100% |
3385
268.5 IPS |
|
|
Object Detection (Q)
|
92% |
3439
274.5 IPS |
|
|
Face Detection (SP)
|
100% |
7698
91.5 IPS |
|
|
Face Detection (HP)
|
100% |
10884
129.3 IPS |
|
|
Face Detection (Q)
|
100% |
8921
106.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13595
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16029
123.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
14911
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31633
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39624
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39714
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7444
274.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8234
304.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7101
262.2 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6103
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6091
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1272
22.0 IPS |
