iPhone 15 Pro Max
Geekbench AI Score
5014
Single Precision Score
5944
Half Precision Score
5323
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2209
410.7 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.5 IPS |
|
|
Image Classification (Q)
|
97% |
2164
403.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3748
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3784
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13610
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14353
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13560
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
2639
209.4 IPS |
|
|
Object Detection (Q)
|
91% |
2324
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
6205
73.7 IPS |
|
|
Face Detection (HP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
6205
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10999
84.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11934
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10465
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27579
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32208
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30592
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6170
227.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6276
231.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4847
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1323
22.9 IPS |
