iPhone 15 Pro
Geekbench AI Score
3722
Single Precision Score
6849
Half Precision Score
5604
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 11:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1562
290.5 IPS |
|
|
Image Classification (HP)
|
100% |
3000
557.9 IPS |
|
|
Image Classification (Q)
|
96% |
2046
382.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3033
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7339
8.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
15906
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13863
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
97% |
3217
256.1 IPS |
|
|
Object Detection (Q)
|
94% |
2330
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6743
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3759
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6526
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12579
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8800
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19975
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32546
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26825
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4465
164.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5612
207.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4335
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7372
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7392
127.8 IPS |
