iPhone 15 Pro
Geekbench AI Score
3990
Single Precision Score
6911
Half Precision Score
5639
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 06:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1719
319.7 IPS |
|
|
Image Classification (HP)
|
100% |
2953
549.1 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1627
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8195
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
16712
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14503
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
97% |
3379
269.0 IPS |
|
|
Object Detection (Q)
|
94% |
2366
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6844
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3928
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7042
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13597
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9393
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21614
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32943
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27494
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5017
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5832
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4415
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6209
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6127
105.9 IPS |
