iPhone 15 Pro Max
Geekbench AI Score
4937
Single Precision Score
5913
Half Precision Score
5481
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | November 06 2024 02:50 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2162
402.2 IPS |
|
|
Image Classification (HP)
|
100% |
2386
443.7 IPS |
|
|
Image Classification (Q)
|
97% |
2084
389.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3725
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3748
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13137
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14003
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13212
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (Q)
|
91% |
2284
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
6280
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
8384
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
6009
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10855
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11796
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10217
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27378
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32323
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30453
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6520
240.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5071
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1963
33.9 IPS |
