iPhone 15 Pro
Geekbench AI Score
3971
Single Precision Score
6971
Half Precision Score
5723
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 01:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1661
309.0 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.8 IPS |
|
|
Image Classification (Q)
|
96% |
2044
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3035
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8113
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
16875
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14498
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.3 IPS |
|
|
Object Detection (HP)
|
97% |
3276
260.8 IPS |
|
|
Object Detection (Q)
|
94% |
2367
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6802
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3873
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7076
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12854
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9032
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21559
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34344
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28493
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5660
209.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4384
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5607
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7475
129.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7200
124.4 IPS |
