iPhone 15 Pro
Geekbench AI Score
4033
Single Precision Score
25383
Half Precision Score
35661
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MGGeekBench24 |
| Upload Date | November 06 2024 05:43 PM |
| Views | 8 |
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% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
11322
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15524
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15727
254.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20920
339.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8139
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
106741
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205980
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
100% |
13965
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19503
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
34485
409.8 IPS |
|
|
Face Detection (Q)
|
100% |
51777
615.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7224
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78743
606.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
127926
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21406
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
206023
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
251718
324.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5063
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36597
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59254
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3479
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6185
106.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7418
128.2 IPS |
