iPhone 15 Pro
Geekbench AI Score
1793
Single Precision Score
3059
Half Precision Score
2487
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
685
127.4 IPS |
|
|
Image Classification (HP)
|
100% |
1239
230.5 IPS |
|
|
Image Classification (Q)
|
96% |
848
158.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1307
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3746
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
7211
8.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
6369
7.47 IPS |
|
|
Object Detection (SP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (HP)
|
97% |
1413
112.5 IPS |
|
|
Object Detection (Q)
|
94% |
1030
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
1688
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (Q)
|
100% |
1709
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3014
23.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5518
42.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
3975
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9355
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14549
18.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12063
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2297
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2661
98.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1902
70.2 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2507
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3158
54.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3191
55.1 IPS |
