iPhone 15 Pro
Geekbench AI Score
3893
Single Precision Score
26598
Half Precision Score
36735
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:35 AM |
| Views | 6 |
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% |
1674
311.3 IPS |
|
|
Image Classification (HP)
|
100% |
11616
2.16 KIPS |
|
|
Image Classification (Q)
|
97% |
15544
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15664
253.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21044
341.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7633
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
104542
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
205669
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
100% |
13751
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
17799
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
34637
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
49289
585.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6839
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78332
603.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
125602
982.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20677
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
206776
265.8 IPS |
|
|
Style Transfer (Q)
|
96% |
249466
321.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4693
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34606
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56890
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3249
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6344
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7579
131.0 IPS |
