iPhone 15 Pro Max
Geekbench AI Score
3653
Single Precision Score
5404
Half Precision Score
4501
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | September 03 2024 03:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1728
321.3 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (Q)
|
99% |
2201
410.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1335
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7519
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15807
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13572
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
97% |
2568
204.4 IPS |
|
|
Object Detection (Q)
|
94% |
1954
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4866
57.8 IPS |
|
|
Face Detection (Q)
|
100% |
3074
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6115
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9489
73.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4848
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19579
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29639
38.1 IPS |
|
|
Style Transfer (Q)
|
100% |
29752
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4513
166.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5664
209.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4299
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
3131
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5178
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5155
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2753
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4463
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4458
77.0 IPS |
