iPhone 15 Pro
Geekbench AI Score
3772
Single Precision Score
6889
Half Precision Score
5659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:30 AM |
| Views | 2 |
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% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
2971
552.5 IPS |
|
|
Image Classification (Q)
|
96% |
2045
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3024
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7197
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
16145
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14108
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1664
131.9 IPS |
|
|
Object Detection (HP)
|
97% |
3268
260.1 IPS |
|
|
Object Detection (Q)
|
94% |
2358
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6737
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3828
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6677
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12640
97.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8937
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20547
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33103
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26807
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4523
167.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4315
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5537
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7433
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7483
129.3 IPS |
