iPhone 15 Pro
Geekbench AI Score
3741
Single Precision Score
6877
Half Precision Score
5636
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:23 PM |
| Views | 1 |
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% |
1574
292.6 IPS |
|
|
Image Classification (HP)
|
100% |
2938
546.3 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3016
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6986
8.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
15651
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13568
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6726
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3770
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6657
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12667
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8938
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20255
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32579
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26704
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4410
162.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5748
212.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4267
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5800
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5890
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3178
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7327
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7280
125.8 IPS |
