iPhone 15 Pro
Geekbench AI Score
5224
Single Precision Score
6119
Half Precision Score
5746
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 08:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2010
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
1909
355.0 IPS |
|
|
Image Classification (Q)
|
96% |
2053
383.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3696
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4180
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4061
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13053
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14940
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14470
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (Q)
|
92% |
2507
200.1 IPS |
|
|
Face Detection (SP)
|
100% |
6528
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
9346
111.1 IPS |
|
|
Face Detection (Q)
|
100% |
7466
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11474
88.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12868
99.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11861
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27153
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32681
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31429
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5589
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5878
217.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5439
200.8 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5590
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5448
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1574
27.2 IPS |
