iPhone 15 Pro
Geekbench AI Score
3712
Single Precision Score
24945
Half Precision Score
35324
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 08:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1613
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
10829
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15911
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16421
266.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21305
345.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6820
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
100307
117.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
200818
235.4 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
13837
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19419
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
33882
402.6 IPS |
|
|
Face Detection (Q)
|
100% |
53054
630.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6396
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78188
602.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
126803
991.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18981
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201702
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
246373
317.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4279
158.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34042
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55913
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3375
4.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3161
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6408
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7316
126.4 IPS |
