iPhone 15 Pro Max
Geekbench AI Score
3801
Single Precision Score
6729
Half Precision Score
5502
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 03:11 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 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% |
1628
302.8 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.4 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1585
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3053
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7782
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15773
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13690
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (HP)
|
97% |
3248
258.6 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
6498
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
3738
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6499
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13132
101.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9028
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20497
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31961
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26917
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4671
172.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5938
219.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5604
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5660
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3020
52.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5855
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5797
100.2 IPS |
