iPhone 15 Pro
Geekbench AI Score
3589
Single Precision Score
6729
Half Precision Score
5533
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | March 08 2026 10:17 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1559
289.8 IPS |
|
|
Image Classification (HP)
|
100% |
2883
536.1 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2962
48.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6515
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14703
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13036
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
97% |
3251
258.8 IPS |
|
|
Object Detection (Q)
|
94% |
2326
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
2931
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
6635
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3715
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6306
48.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12404
95.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8716
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18096
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31099
40.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25655
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4207
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5682
209.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4315
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3167
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7413
128.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7361
127.2 IPS |
