iPhone 15 Pro
Geekbench AI Score
3542
Single Precision Score
5770
Half Precision Score
5047
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | December 22 2025 09:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1568
291.6 IPS |
|
|
Image Classification (HP)
|
100% |
2945
547.8 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2952
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6934
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
17615
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15023
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
97% |
3270
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
2947
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
6748
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6652
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12011
92.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8307
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17971
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18968
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
15870
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3352
123.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2784
102.8 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
5277
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5690
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3014
51.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3594
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6859
118.5 IPS |
