iPhone 15 Pro
Geekbench AI Score
1740
Single Precision Score
2927
Half Precision Score
2451
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 05:00 AM |
| Views | 2 |
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% |
747
138.9 IPS |
|
|
Image Classification (HP)
|
100% |
1237
230.1 IPS |
|
|
Image Classification (Q)
|
96% |
834
155.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1333
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3607
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
7342
8.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
6398
7.50 IPS |
|
|
Object Detection (SP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (HP)
|
97% |
1424
113.3 IPS |
|
|
Object Detection (Q)
|
94% |
1030
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (Q)
|
100% |
1654
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2976
22.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5490
42.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
3776
29.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9365
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14413
18.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12072
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2285
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2595
95.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1871
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2476
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3216
55.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3069
53.0 IPS |
