iPhone 15 Pro Max
Geekbench AI Score
3349
Single Precision Score
6041
Half Precision Score
4940
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 10 2024 11:32 PM |
| Views | 1 |
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% |
1325
246.3 IPS |
|
|
Image Classification (HP)
|
100% |
2262
420.7 IPS |
|
|
Image Classification (Q)
|
96% |
1722
321.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2637
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6006
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
12723
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11497
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
97% |
3014
239.9 IPS |
|
|
Object Detection (Q)
|
94% |
2097
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
6003
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3367
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5819
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11627
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7991
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17383
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27694
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23666
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3940
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5348
197.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3919
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
3162
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5794
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5804
100.3 IPS |
