iPhone 15 Pro
Geekbench AI Score
4192
Single Precision Score
4679
Half Precision Score
4280
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | danindub |
| Upload Date | August 17 2024 08:38 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1645
306.0 IPS |
|
|
Image Classification (HP)
|
100% |
1730
321.7 IPS |
|
|
Image Classification (Q)
|
99% |
2024
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3123
50.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3893
63.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3877
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15056
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16004
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14552
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
2768
219.6 IPS |
|
|
Object Detection (Q)
|
92% |
2418
193.0 IPS |
|
|
Face Detection (SP)
|
100% |
6366
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
8779
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
6045
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11485
88.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12964
99.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
13233
102.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29655
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34403
44.2 IPS |
|
|
Style Transfer (Q)
|
100% |
35839
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6285
232.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6615
244.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5249
194.5 IPS |
|
|
Text Classification (SP)
|
100% |
484
646.6 IPS |
|
|
Text Classification (HP)
|
100% |
509
679.1 IPS |
|
|
Text Classification (Q)
|
93% |
310
416.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1604
27.7 IPS |
