iPhone 15 Pro
Geekbench AI Score
2960
Single Precision Score
5357
Half Precision Score
4336
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:32 AM |
| 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% |
1207
224.4 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.1 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2289
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6346
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
13190
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11320
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.4 IPS |
|
|
Object Detection (HP)
|
97% |
2518
200.5 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2265
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
4918
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
2777
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5371
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9762
75.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6809
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16563
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25247
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20853
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4360
161.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3281
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4428
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4297
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2225
38.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6019
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6138
106.1 IPS |
