iPhone 15 Pro
Geekbench AI Score
3694
Single Precision Score
6840
Half Precision Score
5578
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1539
286.2 IPS |
|
|
Image Classification (HP)
|
100% |
2993
556.6 IPS |
|
|
Image Classification (Q)
|
96% |
2047
382.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2937
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7080
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
15497
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13748
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
97% |
3202
254.9 IPS |
|
|
Object Detection (Q)
|
94% |
2334
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
6652
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3692
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6502
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12408
95.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8724
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19992
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32036
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26462
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4399
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5731
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4340
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5598
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7252
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7307
126.3 IPS |
