iPhone 15 Pro
Geekbench AI Score
3747
Single Precision Score
6874
Half Precision Score
5626
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:33 PM |
| Views | 3 |
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% |
1533
285.1 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.3 IPS |
|
|
Image Classification (Q)
|
96% |
2046
382.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2989
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7129
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
16123
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13732
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.8 IPS |
|
|
Object Detection (HP)
|
97% |
3277
260.9 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6738
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3783
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6707
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12778
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8916
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20385
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32864
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27045
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4587
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5611
207.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4367
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5391
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7455
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7474
129.2 IPS |
