iPhone 15 Pro
Geekbench AI Score
3809
Single Precision Score
25604
Half Precision Score
35526
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 11:18 AM |
| 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% |
1684
313.2 IPS |
|
|
Image Classification (HP)
|
100% |
11025
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15473
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16632
269.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21316
345.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7202
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
103455
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205240
240.6 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
100% |
13875
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18844
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
36814
437.4 IPS |
|
|
Face Detection (Q)
|
100% |
52923
628.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6597
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78603
605.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127342
995.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19701
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
207460
266.7 IPS |
|
|
Style Transfer (Q)
|
96% |
255872
330.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4603
170.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33658
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56034
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3485
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6468
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7457
128.9 IPS |
