iPhone 15 Pro
Geekbench AI Score
4981
Single Precision Score
5946
Half Precision Score
5585
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 24 2025 03:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1965
365.4 IPS |
|
|
Image Classification (HP)
|
100% |
2131
396.2 IPS |
|
|
Image Classification (Q)
|
96% |
2011
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3606
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4126
66.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4002
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12674
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14694
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14305
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.3 IPS |
|
|
Object Detection (HP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (Q)
|
92% |
2495
199.1 IPS |
|
|
Face Detection (SP)
|
100% |
6441
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
8778
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
6981
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10771
83.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12375
95.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
11163
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26719
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32152
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32096
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5728
211.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6016
222.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5604
206.9 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5379
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1408
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1365
23.6 IPS |
