iPhone 15 Pro
Geekbench AI Score
4965
Single Precision Score
5979
Half Precision Score
5688
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | mattpippen |
| Upload Date | December 29 2025 02:56 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1900
353.4 IPS |
|
|
Image Classification (HP)
|
100% |
2004
372.7 IPS |
|
|
Image Classification (Q)
|
94% |
1988
371.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3747
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4264
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4119
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13083
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14967
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14512
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (Q)
|
90% |
2638
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
6737
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
9151
108.7 IPS |
|
|
Face Detection (Q)
|
100% |
7262
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10749
82.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12459
96.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11305
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26786
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32246
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33311
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5636
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5505
203.3 IPS |
|
|
Text Classification (SP)
|
100% |
3126
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5203
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5170
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1455
25.1 IPS |
