iPhone 15 Pro Max
Geekbench AI Score
3856
Single Precision Score
6794
Half Precision Score
5521
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | December 10 2024 05:27 AM |
| Views | 6 |
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% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
2925
544.0 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3093
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7608
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
15699
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13682
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
97% |
3311
263.6 IPS |
|
|
Object Detection (Q)
|
94% |
2325
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6713
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3822
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6787
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13285
102.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9087
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20494
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31794
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26772
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4745
175.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5765
212.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4334
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5497
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6029
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5989
103.5 IPS |
