iPhone 15 Pro
Geekbench AI Score
3047
Single Precision Score
5301
Half Precision Score
4310
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1274
236.9 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (Q)
|
96% |
1495
279.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2288
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6752
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
13224
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11276
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1409
111.8 IPS |
|
|
Object Detection (HP)
|
97% |
2480
197.4 IPS |
|
|
Object Detection (Q)
|
94% |
1755
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
4956
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
2799
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5361
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9681
74.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6813
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16871
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25849
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21124
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4267
157.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3252
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6108
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6186
106.9 IPS |
