iPhone 15 Pro
Geekbench AI Score
3815
Single Precision Score
24658
Half Precision Score
33647
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 06 2025 08:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1633
303.7 IPS |
|
|
Image Classification (HP)
|
100% |
11473
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15906
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16535
268.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21148
342.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7491
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
103870
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
205669
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.5 IPS |
|
|
Object Detection (HP)
|
100% |
13863
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19513
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
33567
398.8 IPS |
|
|
Face Detection (Q)
|
100% |
52417
622.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6710
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78401
604.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
128223
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20263
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205965
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
254757
328.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4694
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33708
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57634
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
1890
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6582
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7387
127.6 IPS |
