iPhone 15 Pro
Geekbench AI Score
3870
Single Precision Score
25837
Half Precision Score
34749
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1589
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
11346
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
13726
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16198
262.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21034
341.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7785
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
105859
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
206413
241.9 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
100% |
12728
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
16632
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
34592
411.0 IPS |
|
|
Face Detection (Q)
|
100% |
46166
548.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7024
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72409
557.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
112533
879.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21656
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202170
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
239871
309.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30242
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58030
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5738
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6094
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6504
112.4 IPS |
