iPhone 15 Pro Max
Geekbench AI Score
3974
Single Precision Score
6834
Half Precision Score
5612
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:46 PM |
| Views | 1 |
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% |
1724
320.6 IPS |
|
|
Image Classification (HP)
|
100% |
2906
540.4 IPS |
|
|
Image Classification (Q)
|
96% |
2001
373.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3090
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8244
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
16602
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14433
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
97% |
3343
266.2 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6694
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3844
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7140
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13502
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9278
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21313
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32327
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27601
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4873
179.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5818
214.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4413
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6048
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6091
105.3 IPS |
