iPhone 15 Pro
Geekbench AI Score
3819
Single Precision Score
26549
Half Precision Score
36431
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 01:05 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% |
1563
290.7 IPS |
|
|
Image Classification (HP)
|
100% |
10761
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15428
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16720
271.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21303
345.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7585
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
107669
125.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
207314
243.0 IPS |
|
|
Object Detection (SP)
|
100% |
1675
132.8 IPS |
|
|
Object Detection (HP)
|
100% |
13486
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17590
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
34448
409.3 IPS |
|
|
Face Detection (Q)
|
100% |
51398
610.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6811
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
77962
600.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124156
970.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20801
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205606
264.3 IPS |
|
|
Style Transfer (Q)
|
96% |
250720
323.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4743
175.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34627
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55715
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3189
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6400
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7153
123.6 IPS |
