iPhone 15 Pro
Geekbench AI Score
3719
Single Precision Score
6865
Half Precision Score
5625
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | February 21 2026 03:12 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1559
289.9 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.6 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2335
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3031
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7087
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15869
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13866
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (HP)
|
97% |
3270
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6786
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3797
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6600
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12677
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8905
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19927
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32535
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26823
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4469
165.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5691
210.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4384
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5434
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5404
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7457
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7340
126.9 IPS |
