iPhone 15 Pro
Geekbench AI Score
3857
Single Precision Score
26564
Half Precision Score
36201
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 03:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
10598
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15990
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16253
263.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21027
340.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7896
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
107782
125.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
206944
242.6 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
13655
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
17806
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
34167
406.0 IPS |
|
|
Face Detection (Q)
|
100% |
46546
553.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6918
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78469
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
125678
982.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21675
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
207371
266.6 IPS |
|
|
Style Transfer (Q)
|
96% |
244537
315.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34553
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57321
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6474
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6904
119.3 IPS |
