iPhone 15 Pro
Geekbench AI Score
4040
Single Precision Score
24966
Half Precision Score
34588
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
10922
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
14490
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16010
259.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20911
339.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8367
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
106708
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204542
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
13727
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19057
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
35471
421.5 IPS |
|
|
Face Detection (Q)
|
100% |
50298
597.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7253
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
79024
608.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
127965
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21823
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203488
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
250226
322.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5136
189.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34279
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56355
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3112
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3135
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6285
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7346
127.0 IPS |
