iPhone 15 Pro
Geekbench AI Score
3962
Single Precision Score
6963
Half Precision Score
5683
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 06:50 PM |
| Views | 1 |
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% |
1663
309.2 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3041
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8397
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17304
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14977
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.3 IPS |
|
|
Object Detection (HP)
|
97% |
3279
261.1 IPS |
|
|
Object Detection (Q)
|
94% |
2373
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6803
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3865
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7013
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12810
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9035
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22163
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35064
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28314
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5006
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5759
212.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4364
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5126
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5112
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7521
130.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7284
125.9 IPS |
