iPhone 15 Pro
Geekbench AI Score
3857
Single Precision Score
26527
Half Precision Score
36520
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 10:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1570
291.9 IPS |
|
|
Image Classification (HP)
|
100% |
10592
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15610
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15668
254.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21622
350.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7854
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
106717
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
206674
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
100% |
13643
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17735
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
34798
413.5 IPS |
|
|
Face Detection (Q)
|
100% |
50526
600.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6943
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78403
604.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
124760
975.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21701
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205148
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
248678
320.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34948
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56436
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6656
114.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7058
122.0 IPS |
