iPhone 15 Pro
Geekbench AI Score
3816
Single Precision Score
26259
Half Precision Score
36309
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | December 28 2025 11:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
11072
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
14966
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15342
248.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21321
345.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7397
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
106576
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
202208
237.0 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
13135
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
17702
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
35351
420.0 IPS |
|
|
Face Detection (Q)
|
100% |
47527
564.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6912
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78175
602.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
123399
964.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20858
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204781
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
250194
322.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34696
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63540
2.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5473
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6102
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6815
117.8 IPS |
