iPhone 15 Pro
Geekbench AI Score
3666
Single Precision Score
6607
Half Precision Score
5381
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 08:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1582
294.2 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.0 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2245
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2849
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6755
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
13902
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12509
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
97% |
3165
252.0 IPS |
|
|
Object Detection (Q)
|
94% |
2231
177.8 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6365
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6347
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12184
94.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8435
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19051
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31162
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25190
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4246
156.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5591
206.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4232
156.3 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5815
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5774
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3158
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6906
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6868
118.7 IPS |
