iPhone 15 Pro
Geekbench AI Score
3688
Single Precision Score
25336
Half Precision Score
35141
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 11:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1581
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
10908
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
14223
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15722
254.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21553
349.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6911
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
101061
117.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
200827
235.4 IPS |
|
|
Object Detection (SP)
|
100% |
1628
129.2 IPS |
|
|
Object Detection (HP)
|
100% |
13567
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17590
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
35222
418.5 IPS |
|
|
Face Detection (Q)
|
100% |
52138
619.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6450
49.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
70186
540.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
105954
828.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19821
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200621
257.9 IPS |
|
|
Style Transfer (Q)
|
96% |
238255
307.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4370
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28407
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55055
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5765
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5708
98.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6586
113.8 IPS |
