iPhone 15 Pro
Geekbench AI Score
3661
Single Precision Score
26755
Half Precision Score
36737
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 08:43 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% |
1538
286.0 IPS |
|
|
Image Classification (HP)
|
100% |
11371
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
16567
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15538
251.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21280
345.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6714
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
103403
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
204523
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
1622
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
13551
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18329
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
35480
421.6 IPS |
|
|
Face Detection (Q)
|
100% |
48949
581.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6462
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
79596
613.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
126303
987.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19173
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
198644
255.4 IPS |
|
|
Style Transfer (Q)
|
96% |
246077
317.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36103
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56925
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5661
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5609
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6624
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6976
120.6 IPS |
