iPhone 15 Pro
Geekbench AI Score
3770
Single Precision Score
6878
Half Precision Score
5618
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | calvinh |
| Upload Date | November 19 2025 09:58 PM |
| Views | 5 |
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% |
1557
289.5 IPS |
|
|
Image Classification (HP)
|
100% |
2935
545.9 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3028
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7345
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
16260
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13758
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (HP)
|
97% |
3239
257.8 IPS |
|
|
Object Detection (Q)
|
94% |
2341
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6740
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3781
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6668
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12777
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8907
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20518
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32839
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27085
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4562
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5394
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7417
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7395
127.8 IPS |
