iPhone 15 Pro
Geekbench AI Score
4995
Single Precision Score
5914
Half Precision Score
5249
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 11 2024 11:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2202
409.6 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.5 IPS |
|
|
Image Classification (Q)
|
97% |
2007
374.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3721
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3768
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13243
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14065
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13247
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
2768
219.6 IPS |
|
|
Object Detection (Q)
|
91% |
2369
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
6355
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
8815
104.7 IPS |
|
|
Face Detection (Q)
|
100% |
5969
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11087
85.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11828
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10424
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27514
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32537
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30739
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6028
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6355
234.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4724
174.4 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5511
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1344
23.2 IPS |
