iPhone 15 Pro
Geekbench AI Score
3673
Single Precision Score
25726
Half Precision Score
36145
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1611
299.5 IPS |
|
|
Image Classification (HP)
|
100% |
12296
2.29 KIPS |
|
|
Image Classification (Q)
|
97% |
15078
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16643
269.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21191
343.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7039
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
101581
118.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
201571
236.3 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
100% |
14060
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
18969
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
36839
437.7 IPS |
|
|
Face Detection (Q)
|
100% |
53544
636.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6392
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78460
604.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
126807
991.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18599
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
197262
253.6 IPS |
|
|
Style Transfer (Q)
|
96% |
256289
330.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4191
154.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33630
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59978
2.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (Q)
|
93% |
3737
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3037
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6515
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7988
138.1 IPS |
