iPhone 15 Pro
Geekbench AI Score
3729
Single Precision Score
6843
Half Precision Score
5612
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1576
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
2970
552.4 IPS |
|
|
Image Classification (Q)
|
96% |
2027
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3002
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7142
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
15998
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13689
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
97% |
3247
258.5 IPS |
|
|
Object Detection (Q)
|
94% |
2327
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6590
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3750
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6642
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12682
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8937
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20199
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32675
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26974
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4521
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5659
209.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4364
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7189
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7360
127.2 IPS |
