iPhone 15 Pro
Geekbench AI Score
3857
Single Precision Score
25457
Half Precision Score
35871
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 27 2025 06:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1705
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
10969
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
15142
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16478
267.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21311
345.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7514
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
103819
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204186
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
13994
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19260
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
34038
404.5 IPS |
|
|
Face Detection (Q)
|
100% |
53138
631.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6768
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78277
603.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
126427
988.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20278
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203070
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
257522
332.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4572
168.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33742
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60329
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (Q)
|
93% |
3262
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6846
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8164
141.1 IPS |
