iPhone 15 Pro
Geekbench AI Score
3586
Single Precision Score
27071
Half Precision Score
36506
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | March 08 2026 10:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1484
276.0 IPS |
|
|
Image Classification (HP)
|
100% |
11921
2.22 KIPS |
|
|
Image Classification (Q)
|
97% |
14837
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16298
264.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21433
347.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6407
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
103236
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
206569
242.1 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
13778
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
17592
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
36207
430.2 IPS |
|
|
Face Detection (Q)
|
100% |
50949
605.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6329
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78323
603.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
122327
956.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18705
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
207928
267.3 IPS |
|
|
Style Transfer (Q)
|
96% |
250714
323.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4199
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35390
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57786
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6516
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7266
125.6 IPS |
