iPhone 15 Pro
Geekbench AI Score
3806
Single Precision Score
6876
Half Precision Score
5659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 02 2025 11:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1598
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.0 IPS |
|
|
Image Classification (Q)
|
96% |
2048
382.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3038
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7460
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
16355
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13892
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
97% |
3273
260.6 IPS |
|
|
Object Detection (Q)
|
94% |
2373
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6819
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3806
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6674
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12675
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8905
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20666
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32979
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27472
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4644
171.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5583
206.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4371
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7372
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7414
128.1 IPS |
