iPhone 15 Pro
Geekbench AI Score
3492
Single Precision Score
5259
Half Precision Score
4537
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 12:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1663
309.3 IPS |
|
|
Image Classification (HP)
|
100% |
2165
402.7 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1973
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6726
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
14468
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12704
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (HP)
|
97% |
2491
198.3 IPS |
|
|
Object Detection (Q)
|
94% |
1914
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
4711
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
2995
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5753
44.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
9123
70.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6832
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18438
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28670
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24322
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4283
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5583
206.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4186
154.6 IPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5162
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5098
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2759
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4581
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4467
77.2 IPS |
