iPhone 15 Pro Max
Geekbench AI Score
3928
Single Precision Score
6798
Half Precision Score
5562
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 11:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
96% |
2013
376.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3077
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8006
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
16400
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14228
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1772
140.5 IPS |
|
|
Object Detection (HP)
|
97% |
3345
266.3 IPS |
|
|
Object Detection (Q)
|
94% |
2343
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6606
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3802
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6975
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13446
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9165
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20921
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32122
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27010
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5769
213.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5480
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5509
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6052
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6057
104.7 IPS |
