iPhone 15 Pro
Geekbench AI Score
2139
Single Precision Score
22795
Half Precision Score
30596
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
759
141.1 IPS |
|
|
Image Classification (HP)
|
100% |
10976
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
14037
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14974
242.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18449
299.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4182
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
74545
87.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
92909
108.9 IPS |
|
|
Object Detection (SP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (HP)
|
100% |
13151
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
17679
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
29710
353.0 IPS |
|
|
Face Detection (Q)
|
100% |
46858
556.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4404
33.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
66553
512.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
89423
699.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14094
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
157627
202.6 IPS |
|
|
Style Transfer (Q)
|
96% |
233842
301.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2439
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28252
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55527
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4393
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4311
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1695
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6080
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7206
124.5 IPS |
