iPhone 15 Pro
Geekbench AI Score
2945
Single Precision Score
5271
Half Precision Score
4291
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 09:08 AM |
| Views | 4 |
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% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (Q)
|
96% |
1495
279.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2279
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6331
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
13133
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11220
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.5 IPS |
|
|
Object Detection (HP)
|
97% |
2490
198.3 IPS |
|
|
Object Detection (Q)
|
94% |
1756
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
4799
57.0 IPS |
|
|
Face Detection (Q)
|
100% |
2734
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5372
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9660
74.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6719
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16377
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25205
32.4 IPS |
|
|
Style Transfer (Q)
|
96% |
20826
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4382
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3256
120.2 IPS |
|
|
Text Classification (SP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4296
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4292
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5665
97.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5901
102.0 IPS |
