iPhone 15 Pro
Geekbench AI Score
3719
Single Precision Score
23475
Half Precision Score
30401
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 02:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1650
306.9 IPS |
|
|
Image Classification (HP)
|
100% |
11490
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
15629
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13238
214.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16618
269.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7388
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
107209
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204632
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
13766
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18526
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
2825
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
32074
381.1 IPS |
|
|
Face Detection (Q)
|
100% |
42354
503.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6974
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78537
605.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
128155
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20764
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205743
264.5 IPS |
|
|
Style Transfer (Q)
|
96% |
245280
316.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4947
182.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34182
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54481
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
1573
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2882
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5483
94.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6004
103.8 IPS |
