iPhone 15 Pro
Geekbench AI Score
3672
Single Precision Score
6804
Half Precision Score
5570
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 12:43 PM |
| Views | 3 |
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% |
1556
289.5 IPS |
|
|
Image Classification (HP)
|
100% |
2952
548.9 IPS |
|
|
Image Classification (Q)
|
96% |
2028
378.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2316
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3034
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7165
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15706
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13365
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.5 IPS |
|
|
Object Detection (HP)
|
97% |
3248
258.6 IPS |
|
|
Object Detection (Q)
|
94% |
2329
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6663
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3704
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6432
49.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12502
96.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8657
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19459
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31910
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26306
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4364
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5662
209.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4266
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5604
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5812
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7233
125.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7180
124.1 IPS |
