iPhone 15 Pro
Geekbench AI Score
3719
Single Precision Score
21600
Half Precision Score
32847
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 04:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1569
291.8 IPS |
|
|
Image Classification (HP)
|
100% |
8493
1.58 KIPS |
|
|
Image Classification (Q)
|
97% |
11746
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16435
266.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21133
342.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7127
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
98553
115.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
191079
224.0 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.4 IPS |
|
|
Object Detection (HP)
|
100% |
8848
701.8 IPS |
|
|
Object Detection (Q)
|
91% |
16086
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
34452
409.4 IPS |
|
|
Face Detection (Q)
|
100% |
47859
568.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6356
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55727
429.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
101028
789.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20606
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
185759
238.8 IPS |
|
|
Style Transfer (Q)
|
96% |
231429
298.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4488
165.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21672
800.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
45380
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5540
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5804
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6503
112.4 IPS |
