iPhone 15 Pro
Geekbench AI Score
3807
Single Precision Score
6950
Half Precision Score
5687
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 10 2026 05:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1557
289.6 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.8 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3036
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7694
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
16728
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14008
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
97% |
3288
261.7 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6742
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3845
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6736
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12771
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8939
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21125
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33601
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27807
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4664
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7540
130.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7597
131.3 IPS |
