iPhone 15 Pro Max
Geekbench AI Score
3871
Single Precision Score
6760
Half Precision Score
5540
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | December 13 2024 10:28 PM |
| Views | 2 |
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% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.5 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3071
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7585
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
15751
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13759
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.0 IPS |
|
|
Object Detection (HP)
|
97% |
3333
265.4 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6732
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3813
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6804
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13281
102.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9128
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20624
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31891
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26886
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4747
175.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5712
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4271
157.7 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5655
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6045
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6060
104.7 IPS |
