iPhone 15 Pro
Geekbench AI Score
3738
Single Precision Score
26520
Half Precision Score
35818
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 11:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1603
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
11492
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
14565
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16443
266.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21715
352.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7144
8.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
102251
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
204354
239.5 IPS |
|
|
Object Detection (SP)
|
100% |
1626
129.0 IPS |
|
|
Object Detection (HP)
|
100% |
13455
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17022
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34429
409.1 IPS |
|
|
Face Detection (Q)
|
100% |
49833
592.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6578
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78451
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
122467
957.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19913
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207507
266.8 IPS |
|
|
Style Transfer (Q)
|
96% |
243130
313.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4497
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34919
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55699
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5419
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6176
106.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7055
121.9 IPS |
