iPhone 15 Pro
Geekbench AI Score
5195
Single Precision Score
6060
Half Precision Score
6036
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | February 21 2026 03:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2187
406.7 IPS |
|
|
Image Classification (HP)
|
100% |
1881
349.8 IPS |
|
|
Image Classification (Q)
|
96% |
2145
400.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3786
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4247
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4109
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13287
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15176
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14672
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
2746
217.8 IPS |
|
|
Object Detection (Q)
|
91% |
2924
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
6725
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
9453
112.3 IPS |
|
|
Face Detection (Q)
|
100% |
8831
104.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10956
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12354
95.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11871
92.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28062
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33843
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33450
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6048
223.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5495
202.9 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5688
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1551
26.8 IPS |
