iPhone 15 Pro
Geekbench AI Score
3791
Single Precision Score
6875
Half Precision Score
5711
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 06 2025 07:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1585
294.7 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.3 IPS |
|
|
Image Classification (Q)
|
96% |
2025
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3024
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7180
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
16271
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14157
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
97% |
3281
261.2 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6706
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3825
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6683
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12633
97.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8934
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20761
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33565
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27806
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5673
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4353
160.7 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5909
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3070
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7156
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7402
127.9 IPS |
