iPhone 15 Pro
Geekbench AI Score
4041
Single Precision Score
7039
Half Precision Score
5768
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RSALDHBIB |
| Upload Date | April 17 2026 01:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1718
319.5 IPS |
|
|
Image Classification (HP)
|
100% |
2989
555.9 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8275
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
17230
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14941
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1792
142.1 IPS |
|
|
Object Detection (HP)
|
97% |
3357
267.2 IPS |
|
|
Object Detection (Q)
|
94% |
2389
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6887
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
3867
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7093
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12913
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9053
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22098
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34896
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28808
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5023
185.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5778
213.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4477
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7042
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6966
120.4 IPS |
