iPhone 15 Pro
Geekbench AI Score
3838
Single Precision Score
26576
Half Precision Score
36441
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | November 13 2025 03:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1558
289.8 IPS |
|
|
Image Classification (HP)
|
100% |
10889
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15319
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16328
264.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21277
344.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7848
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
107936
125.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
206214
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
13658
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18097
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
34556
410.6 IPS |
|
|
Face Detection (Q)
|
100% |
50907
604.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6898
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78092
601.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
125078
977.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21506
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204119
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
248901
321.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34388
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59433
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5350
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5215
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6617
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6912
119.4 IPS |
