iPhone 15 Pro Max
Geekbench AI Score
4946
Single Precision Score
5991
Half Precision Score
5355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bLoWfIsHrUlEz |
| Upload Date | December 27 2024 02:56 PM |
| Views | 3 |
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% |
2211
411.1 IPS |
|
|
Image Classification (HP)
|
100% |
2388
444.1 IPS |
|
|
Image Classification (Q)
|
97% |
2066
385.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2816
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3746
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3755
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13298
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14185
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13397
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
2979
236.3 IPS |
|
|
Object Detection (Q)
|
91% |
2441
195.0 IPS |
|
|
Face Detection (SP)
|
100% |
6202
73.7 IPS |
|
|
Face Detection (HP)
|
100% |
8372
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
6060
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10866
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11991
92.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10395
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27328
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32173
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30597
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6255
231.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5343
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5621
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1356
23.4 IPS |
