iPhone 15 Pro
Geekbench AI Score
4977
Single Precision Score
5972
Half Precision Score
5329
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 19 2025 06:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2157
401.0 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.4 IPS |
|
|
Image Classification (Q)
|
97% |
2071
386.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3752
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3766
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13251
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14074
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13279
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
2810
222.9 IPS |
|
|
Object Detection (Q)
|
91% |
2282
182.3 IPS |
|
|
Face Detection (SP)
|
100% |
6509
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
8438
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
6102
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10922
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11900
91.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10260
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27736
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32601
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30585
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6038
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6319
233.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5109
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5677
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5569
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1436
24.8 IPS |
