iPhone 15 Pro
Geekbench AI Score
3529
Single Precision Score
6504
Half Precision Score
5297
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 07:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1475
274.3 IPS |
|
|
Image Classification (HP)
|
100% |
2901
539.5 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2852
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13695
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12059
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.6 IPS |
|
|
Object Detection (HP)
|
97% |
3071
244.5 IPS |
|
|
Object Detection (Q)
|
94% |
2199
175.3 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
6241
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
3546
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5891
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12179
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8072
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18115
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29412
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24184
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4058
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4136
152.7 IPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5678
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5779
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6692
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6830
118.0 IPS |
