iPhone 15 Pro Max
Geekbench AI Score
4931
Single Precision Score
5945
Half Precision Score
5279
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 03 2025 06:08 AM |
| Views | 1 |
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% |
2094
389.4 IPS |
|
|
Image Classification (HP)
|
100% |
2291
426.0 IPS |
|
|
Image Classification (Q)
|
97% |
2035
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3723
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3735
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13186
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14097
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13342
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
100% |
2710
215.0 IPS |
|
|
Object Detection (Q)
|
91% |
2257
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
6638
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
9145
108.7 IPS |
|
|
Face Detection (Q)
|
100% |
6325
75.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11153
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11574
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10204
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27450
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32737
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30927
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5898
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6250
230.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4813
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1396
24.1 IPS |
