iPhone 15 Pro
Geekbench AI Score
3839
Single Precision Score
26525
Half Precision Score
36321
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 08:44 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% |
1566
291.3 IPS |
|
|
Image Classification (HP)
|
100% |
11182
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
16371
3.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16636
269.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21092
341.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7850
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
107006
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204301
239.5 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
13493
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17159
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
34827
413.8 IPS |
|
|
Face Detection (Q)
|
100% |
48012
570.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6841
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
77991
600.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
123779
967.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21194
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203069
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
246971
318.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4732
174.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34761
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61889
2.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5399
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6219
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6732
116.3 IPS |
