iPhone 15 Pro
Geekbench AI Score
3715
Single Precision Score
24499
Half Precision Score
33635
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 06:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
10219
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
13745
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16377
265.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21285
345.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6838
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
97868
114.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
191785
224.8 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
100% |
11741
931.3 IPS |
|
|
Object Detection (Q)
|
91% |
16408
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
34699
412.3 IPS |
|
|
Face Detection (Q)
|
100% |
51088
607.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6575
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
61379
472.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
98810
772.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19262
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
196747
252.9 IPS |
|
|
Style Transfer (Q)
|
96% |
232650
300.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30794
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48911
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5331
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5874
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6575
113.6 IPS |
