iPhone 15 Pro
Geekbench AI Score
3747
Single Precision Score
6872
Half Precision Score
5622
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1582
294.2 IPS |
|
|
Image Classification (HP)
|
100% |
2988
555.8 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3008
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7241
8.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
15975
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13857
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1644
130.4 IPS |
|
|
Object Detection (HP)
|
97% |
3270
260.4 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6732
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3780
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6640
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12636
97.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8836
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20402
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32914
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26980
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4530
167.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5746
212.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7305
126.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7279
125.8 IPS |
