iPhone 15 Pro
Geekbench AI Score
3847
Single Precision Score
26407
Half Precision Score
36030
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1591
295.9 IPS |
|
|
Image Classification (HP)
|
100% |
10483
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
15615
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16514
267.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21526
349.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7522
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
106694
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
203557
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
100% |
13857
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17306
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
34326
407.9 IPS |
|
|
Face Detection (Q)
|
100% |
49658
590.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6880
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78068
601.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
120868
945.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20665
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207265
266.4 IPS |
|
|
Style Transfer (Q)
|
96% |
252354
325.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4663
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34519
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55500
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5411
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6342
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6845
118.3 IPS |
