iPhone 15 Pro
Geekbench AI Score
3879
Single Precision Score
25407
Half Precision Score
35343
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 03:27 PM |
| Views | 1 |
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% |
1701
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
10617
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15225
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16699
270.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21349
346.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7513
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
103742
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
203207
238.2 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
13607
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18787
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
36796
437.2 IPS |
|
|
Face Detection (Q)
|
100% |
52696
626.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6755
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78386
603.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
130002
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
20498
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
207880
267.2 IPS |
|
|
Style Transfer (Q)
|
96% |
254298
328.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4747
175.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34588
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57374
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3335
4.45 KIPS |
|
|
Text Classification (Q)
|
93% |
3291
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3183
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6477
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7452
128.8 IPS |
