iPhone 15 Pro
Geekbench AI Score
2961
Single Precision Score
19786
Half Precision Score
27833
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 05:04 PM |
| Views | 5 |
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% |
1215
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
8749
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
10928
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13284
215.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18698
303.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6341
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
63195
73.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
123874
145.2 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (HP)
|
100% |
10329
819.3 IPS |
|
|
Object Detection (Q)
|
91% |
15490
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
27531
327.1 IPS |
|
|
Face Detection (Q)
|
100% |
38700
459.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5320
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
52955
408.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
90095
704.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16512
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
144339
185.5 IPS |
|
|
Style Transfer (Q)
|
96% |
173335
223.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3700
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27589
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44426
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
2522
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4310
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4241
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4846
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6250
108.0 IPS |
