iPhone 15 Pro
Geekbench AI Score
3717
Single Precision Score
6799
Half Precision Score
5576
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:12 AM |
| 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% |
1558
289.7 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.8 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3004
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7034
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
15501
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13628
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1627
129.1 IPS |
|
|
Object Detection (HP)
|
97% |
3255
259.2 IPS |
|
|
Object Detection (Q)
|
94% |
2336
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6609
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3700
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6633
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12719
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8781
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20050
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32312
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26585
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4455
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5600
206.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4281
158.1 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5535
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7190
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7320
126.5 IPS |
