iPhone 15 Pro
Geekbench AI Score
3702
Single Precision Score
6789
Half Precision Score
5568
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 05:08 AM |
| Views | 1 |
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% |
1561
290.2 IPS |
|
|
Image Classification (HP)
|
100% |
2941
547.0 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3015
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7215
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
15738
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13524
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
97% |
3219
256.3 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6654
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3713
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6485
50.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12518
96.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8749
68.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20049
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31949
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26214
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4393
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5740
212.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4311
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7179
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7260
125.5 IPS |
