iPhone 15 Pro
Geekbench AI Score
4008
Single Precision Score
24668
Half Precision Score
33253
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1728
321.3 IPS |
|
|
Image Classification (HP)
|
100% |
11075
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15165
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15717
254.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20899
338.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8163
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
107522
125.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204610
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
13920
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19163
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
34644
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
51292
609.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7234
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78664
606.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
128527
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21478
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204297
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
252219
325.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5026
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34046
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56714
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (Q)
|
93% |
1912
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3136
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6126
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7379
127.5 IPS |
