iPhone 15 Pro
Geekbench AI Score
3827
Single Precision Score
6995
Half Precision Score
5724
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1568
291.5 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.9 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3038
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8075
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
17557
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15099
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
97% |
3288
261.7 IPS |
|
|
Object Detection (Q)
|
94% |
2371
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6810
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3875
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6334
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12369
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8962
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21743
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34165
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28109
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4799
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4412
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7363
127.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7185
124.2 IPS |
