iPhone 15 Pro
Geekbench AI Score
3807
Single Precision Score
18791
Half Precision Score
29219
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1578
293.5 IPS |
|
|
Image Classification (HP)
|
100% |
7591
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
10201
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16307
264.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21235
344.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7650
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
97271
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
176148
206.5 IPS |
|
|
Object Detection (SP)
|
100% |
1674
132.8 IPS |
|
|
Object Detection (HP)
|
100% |
7142
566.5 IPS |
|
|
Object Detection (Q)
|
91% |
15381
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
25570
303.8 IPS |
|
|
Face Detection (Q)
|
100% |
35807
425.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6839
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46218
356.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
59711
466.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19837
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
172014
221.1 IPS |
|
|
Style Transfer (Q)
|
96% |
205522
265.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4670
172.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17458
644.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
47803
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3235
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6647
114.9 IPS |
