iPhone 15 Pro
Geekbench AI Score
5052
Single Precision Score
5890
Half Precision Score
5723
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 11:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1978
367.8 IPS |
|
|
Image Classification (HP)
|
100% |
1797
334.2 IPS |
|
|
Image Classification (Q)
|
96% |
2051
382.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3835
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4215
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4033
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13215
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15001
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14529
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (Q)
|
92% |
2485
198.4 IPS |
|
|
Face Detection (SP)
|
100% |
6712
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
8840
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
7056
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10592
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12420
95.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11491
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26831
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32580
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33345
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5962
220.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5538
204.5 IPS |
|
|
Text Classification (SP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5599
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1506
26.0 IPS |
