iPhone 15 Pro
Geekbench AI Score
3831
Single Precision Score
6937
Half Precision Score
5704
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1570
291.9 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.8 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3041
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7716
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
16839
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14539
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
97% |
3291
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
2367
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6787
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3878
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6794
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12733
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9012
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21308
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33678
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28011
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4700
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5395
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7400
127.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7414
128.1 IPS |
