iPhone 15 Pro
Geekbench AI Score
3959
Single Precision Score
6978
Half Precision Score
5730
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 08:35 AM |
| Views | 3 |
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% |
1680
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.6 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3043
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8183
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
16821
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14341
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
97% |
3284
261.5 IPS |
|
|
Object Detection (Q)
|
94% |
2382
189.9 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3841
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7013
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12801
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9013
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21321
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34529
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28563
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4415
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5546
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7399
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7450
128.8 IPS |
