iPhone 15 Pro
Geekbench AI Score
3621
Single Precision Score
26094
Half Precision Score
35839
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 04:04 PM |
| Views | 4 |
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% |
1524
283.4 IPS |
|
|
Image Classification (HP)
|
100% |
11324
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
14947
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16278
263.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20459
331.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6354
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
102333
119.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
199751
234.1 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
12839
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
17778
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34430
409.1 IPS |
|
|
Face Detection (Q)
|
100% |
50047
594.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6504
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
73605
567.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
118434
926.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19073
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
201716
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
240141
309.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4288
158.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31875
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56375
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6678
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7284
125.9 IPS |
