iPhone 15 Pro
Geekbench AI Score
3913
Single Precision Score
24034
Half Precision Score
33035
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 12:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
11070
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15425
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15658
253.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20674
335.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7761
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
106040
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
204149
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1784
141.5 IPS |
|
|
Object Detection (HP)
|
100% |
13843
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19072
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
35534
422.2 IPS |
|
|
Face Detection (Q)
|
100% |
51135
607.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6819
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78287
603.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
130169
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
20610
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202485
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
253713
327.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33896
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59036
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2002
2.67 KIPS |
|
|
Text Classification (Q)
|
93% |
1626
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6613
113.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7691
132.9 IPS |
