iPhone 15 Pro
Geekbench AI Score
3981
Single Precision Score
24256
Half Precision Score
33660
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1727
321.2 IPS |
|
|
Image Classification (HP)
|
100% |
10671
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15976
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12859
208.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15929
258.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8014
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
106884
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
204256
239.4 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
13527
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
19239
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
33879
402.6 IPS |
|
|
Face Detection (Q)
|
100% |
49489
588.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7132
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78363
603.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
127921
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21188
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203879
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
252503
325.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4949
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34319
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58767
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2695
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6154
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7375
127.4 IPS |
