iPhone 15 Pro Max
Geekbench AI Score
3877
Single Precision Score
6859
Half Precision Score
5547
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mcx |
| Upload Date | December 03 2024 07:02 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.4 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3072
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7924
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16255
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14141
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1759
139.6 IPS |
|
|
Object Detection (HP)
|
97% |
3318
264.2 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6735
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3842
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6972
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13444
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9100
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21115
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32375
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25330
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4323
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6183
228.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4450
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5690
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5697
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5933
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5996
103.6 IPS |
