iPhone 15 Pro
Geekbench AI Score
3822
Single Precision Score
24179
Half Precision Score
33827
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | calvinh |
| Upload Date | January 22 2025 06:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1633
303.7 IPS |
|
|
Image Classification (HP)
|
100% |
10706
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15547
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15804
256.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20717
335.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7430
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
101714
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
202587
237.4 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
13766
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19108
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
33646
399.8 IPS |
|
|
Face Detection (Q)
|
100% |
50874
604.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6617
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
77730
598.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
126910
992.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20049
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202798
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
252664
326.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4645
171.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33800
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60174
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (Q)
|
93% |
2169
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6110
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7390
127.7 IPS |
