iPhone 15 Pro
Geekbench AI Score
3671
Single Precision Score
23965
Half Precision Score
34027
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 04:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1537
285.8 IPS |
|
|
Image Classification (HP)
|
100% |
8867
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
12167
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16363
265.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21349
346.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6740
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
100947
117.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
196769
230.6 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
100% |
11792
935.3 IPS |
|
|
Object Detection (Q)
|
91% |
17446
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
34789
413.4 IPS |
|
|
Face Detection (Q)
|
100% |
51249
609.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6584
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
69540
535.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
105884
827.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19755
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
196776
253.0 IPS |
|
|
Style Transfer (Q)
|
96% |
232050
299.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4423
163.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27664
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49592
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4945
85.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6801
117.5 IPS |
