iPhone 15 Pro
Geekbench AI Score
3937
Single Precision Score
25339
Half Precision Score
35657
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 25 2025 03:29 PM |
| Views | 1 |
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% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
10731
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15583
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16478
267.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21105
342.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7947
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
105153
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
206620
242.2 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
100% |
13876
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18984
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
35202
418.3 IPS |
|
|
Face Detection (Q)
|
100% |
53144
631.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6825
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78203
602.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
129029
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20901
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
207820
267.2 IPS |
|
|
Style Transfer (Q)
|
96% |
256292
330.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34067
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58065
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3274
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3330
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6568
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7581
131.0 IPS |
