iPhone 15 Pro
Geekbench AI Score
2968
Single Precision Score
5375
Half Precision Score
4336
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 01:03 AM |
| Views | 2 |
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% |
1215
225.9 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (Q)
|
96% |
1502
280.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2291
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6341
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
13166
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11266
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
97% |
2506
199.5 IPS |
|
|
Object Detection (Q)
|
94% |
1768
140.9 IPS |
|
|
Face Detection (SP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
4944
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
2784
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5371
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9707
75.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6788
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16565
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25283
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20821
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3269
120.7 IPS |
|
|
Text Classification (SP)
|
100% |
2517
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4329
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4298
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2237
38.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6169
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6211
107.3 IPS |
