iPhone 15 Pro
Geekbench AI Score
3811
Single Precision Score
6915
Half Precision Score
5713
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 04:35 PM |
| 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% |
1539
286.2 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.4 IPS |
|
|
Image Classification (Q)
|
96% |
2046
382.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3040
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7769
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
17003
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14441
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
3292
262.1 IPS |
|
|
Object Detection (Q)
|
94% |
2362
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6776
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3851
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6847
52.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12747
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8974
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21307
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33515
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27963
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5727
211.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4383
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7253
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7386
127.6 IPS |
