iPhone 15 Pro
Geekbench AI Score
5019
Single Precision Score
5953
Half Precision Score
5790
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eithel |
| Upload Date | January 31 2026 05:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1971
366.5 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (Q)
|
96% |
2242
418.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3731
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4128
66.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4022
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12818
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14822
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14344
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2351
186.5 IPS |
|
|
Object Detection (HP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (Q)
|
92% |
2643
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
6297
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
8688
103.2 IPS |
|
|
Face Detection (Q)
|
100% |
6792
80.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10831
83.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12275
94.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11795
92.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26805
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32657
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32859
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5771
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5932
219.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5308
196.0 IPS |
|
|
Text Classification (SP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5667
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1601
27.7 IPS |
