iPhone 15 Pro
Geekbench AI Score
3750
Single Precision Score
6788
Half Precision Score
5470
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1619
301.1 IPS |
|
|
Image Classification (HP)
|
100% |
2966
551.5 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2502
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2937
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7271
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
15049
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13070
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.2 IPS |
|
|
Object Detection (HP)
|
97% |
3210
255.5 IPS |
|
|
Object Detection (Q)
|
94% |
2275
181.3 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
6496
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
3618
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6512
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12407
95.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8540
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19353
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31517
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25841
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4353
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5774
213.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4269
157.7 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5771
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5759
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6847
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6933
119.8 IPS |
