iPhone 15 Pro
Geekbench AI Score
3664
Single Precision Score
26826
Half Precision Score
36721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 04:15 PM |
| Views | 1 |
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% |
1554
289.1 IPS |
|
|
Image Classification (HP)
|
100% |
11294
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15713
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16210
262.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19778
320.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6679
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
102707
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
201785
236.5 IPS |
|
|
Object Detection (SP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (HP)
|
100% |
13966
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18332
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2661
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
35660
423.7 IPS |
|
|
Face Detection (Q)
|
100% |
51925
617.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6598
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78030
601.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
127070
993.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20139
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
209379
269.2 IPS |
|
|
Style Transfer (Q)
|
96% |
250309
323.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4580
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34891
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59241
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5542
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5445
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6524
112.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7281
125.8 IPS |
