iPhone 15 Pro Max
Geekbench AI Score
3985
Single Precision Score
6862
Half Precision Score
5560
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kutztown |
| Upload Date | October 13 2024 11:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1653
307.3 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.4 IPS |
|
|
Image Classification (Q)
|
96% |
2005
374.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3048
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7865
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
16556
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13737
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (HP)
|
97% |
3256
259.2 IPS |
|
|
Object Detection (Q)
|
94% |
2379
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6742
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3904
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7153
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13494
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9327
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21705
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32716
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27635
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4976
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5872
216.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4444
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3290
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5983
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5689
98.3 IPS |
