iPhone 15 Pro
Geekbench AI Score
5041
Single Precision Score
5809
Half Precision Score
4430
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1906
354.5 IPS |
|
|
Image Classification (HP)
|
100% |
1708
317.6 IPS |
|
|
Image Classification (Q)
|
99% |
2007
374.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3975
64.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3961
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15013
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15907
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14596
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2517
199.7 IPS |
|
|
Object Detection (HP)
|
100% |
2809
222.8 IPS |
|
|
Object Detection (Q)
|
91% |
2216
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
6707
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
9282
110.3 IPS |
|
|
Face Detection (Q)
|
100% |
6620
78.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12122
93.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13240
102.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
1840
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29204
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34612
44.5 IPS |
|
|
Style Transfer (Q)
|
100% |
34446
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6663
246.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6562
242.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5162
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5480
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
958
16.6 IPS |
