iPhone 15 Pro Max
Geekbench AI Score
5043
Single Precision Score
5912
Half Precision Score
5277
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 06:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (Q)
|
97% |
1843
343.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3922
63.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4030
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15133
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15954
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15054
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2624
208.1 IPS |
|
|
Object Detection (HP)
|
100% |
2852
226.2 IPS |
|
|
Object Detection (Q)
|
91% |
2459
196.5 IPS |
|
|
Face Detection (SP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8894
105.7 IPS |
|
|
Face Detection (Q)
|
100% |
6269
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11785
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12721
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10991
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29812
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35681
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33014
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6431
237.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6581
243.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5235
193.3 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5536
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
933
16.1 IPS |
