iPhone 15 Pro
Geekbench AI Score
3899
Single Precision Score
21032
Half Precision Score
26504
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | dangeredwolf |
| Upload Date | August 18 2024 07:50 AM |
| Views | 4 |
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% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
10973
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
12763
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10833
175.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
10669
172.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7667
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
102871
120.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
199849
234.4 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
13023
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
18602
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
21650
257.2 IPS |
|
|
Face Detection (Q)
|
100% |
37041
440.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6977
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
64409
496.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
73228
566.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20307
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
139958
179.9 IPS |
|
|
Style Transfer (Q)
|
100% |
139782
179.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4809
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34690
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
56931
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (Q)
|
93% |
2100
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6202
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7455
128.8 IPS |
