iPhone 15 Pro
Geekbench AI Score
3758
Single Precision Score
26991
Half Precision Score
36746
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 12:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1574
292.8 IPS |
|
|
Image Classification (HP)
|
100% |
11313
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15491
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16635
269.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21207
343.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7014
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
105859
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
206865
242.5 IPS |
|
|
Object Detection (SP)
|
100% |
1667
132.2 IPS |
|
|
Object Detection (HP)
|
100% |
13858
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17381
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
35125
417.4 IPS |
|
|
Face Detection (Q)
|
100% |
48057
571.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6671
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78226
602.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
122453
957.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20455
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
209678
269.5 IPS |
|
|
Style Transfer (Q)
|
96% |
250872
323.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4531
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34488
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63132
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5756
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5424
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6500
112.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7518
129.9 IPS |
