iPhone 15 Pro
Geekbench AI Score
3330
Single Precision Score
6139
Half Precision Score
4918
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eithel |
| Upload Date | January 31 2026 05:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1488
276.7 IPS |
|
|
Image Classification (HP)
|
100% |
2896
538.6 IPS |
|
|
Image Classification (Q)
|
96% |
1999
373.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2523
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6672
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15014
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12978
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
97% |
3198
254.6 IPS |
|
|
Object Detection (Q)
|
94% |
2285
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
6552
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3659
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6332
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12373
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8493
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14091
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21997
28.3 IPS |
|
|
Style Transfer (Q)
|
96% |
14910
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2836
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3566
131.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2756
101.7 IPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5960
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5950
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7048
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7287
125.9 IPS |
