iPhone 15 Pro
Geekbench AI Score
2688
Single Precision Score
14020
Half Precision Score
17850
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1459
271.3 IPS |
|
|
Image Classification (HP)
|
100% |
6493
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
7666
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5210
84.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9844
159.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7165
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
87206
101.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
152124
178.3 IPS |
|
|
Object Detection (SP)
|
100% |
1447
114.8 IPS |
|
|
Object Detection (HP)
|
100% |
8168
647.9 IPS |
|
|
Object Detection (Q)
|
93% |
9994
797.4 IPS |
|
|
Face Detection (SP)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
11218
133.3 IPS |
|
|
Face Detection (Q)
|
100% |
13188
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4544
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43676
336.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
58925
460.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11990
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
128817
165.6 IPS |
|
|
Style Transfer (Q)
|
96% |
137829
177.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18459
681.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25795
952.5 IPS |
|
|
Text Classification (SP)
|
100% |
1779
2.37 KIPS |
|
|
Text Classification (HP)
|
71% |
4092
5.88 KIPS |
|
|
Text Classification (Q)
|
69% |
4100
6.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2556
44.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2527
43.7 IPS |
