iPhone 15 Pro
Geekbench AI Score
1767
Single Precision Score
3090
Half Precision Score
2513
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 11 2025 11:10 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
618
115.0 IPS |
|
|
Image Classification (HP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (Q)
|
96% |
848
158.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1324
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3436
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
7334
8.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
6411
7.51 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (HP)
|
97% |
1445
115.0 IPS |
|
|
Object Detection (Q)
|
94% |
1038
82.8 IPS |
|
|
Face Detection (SP)
|
100% |
1658
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (Q)
|
100% |
1701
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3008
23.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5606
43.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3994
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9211
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14329
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
11999
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2214
81.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1873
69.2 IPS |
|
|
Text Classification (SP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (HP)
|
99% |
2606
3.48 KIPS |
|
|
Text Classification (Q)
|
93% |
2581
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3282
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3423
59.2 IPS |
