iPhone 15 Pro
Geekbench AI Score
2950
Single Precision Score
5336
Half Precision Score
4316
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1199
222.9 IPS |
|
|
Image Classification (HP)
|
100% |
2169
403.4 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1875
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2287
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6327
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
13201
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11230
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
97% |
2501
199.1 IPS |
|
|
Object Detection (Q)
|
94% |
1770
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
2272
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
4895
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
2764
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5331
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9675
74.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6745
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16516
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25256
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20768
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4343
160.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3260
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4368
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4308
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6144
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6064
104.8 IPS |
