iPhone 15 Pro Max
Geekbench AI Score
3910
Single Precision Score
6817
Half Precision Score
5591
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 04:12 AM |
| Views | 1 |
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% |
1651
307.0 IPS |
|
|
Image Classification (HP)
|
100% |
2968
551.9 IPS |
|
|
Image Classification (Q)
|
96% |
2040
380.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3055
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7844
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
15768
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14136
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.3 IPS |
|
|
Object Detection (HP)
|
97% |
3307
263.3 IPS |
|
|
Object Detection (Q)
|
94% |
2360
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6750
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3861
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6953
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13403
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9262
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21156
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32247
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27340
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4906
181.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5727
211.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4394
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5487
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6002
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6029
104.2 IPS |
