iPhone 15 Pro Max
Geekbench AI Score
3869
Single Precision Score
6763
Half Precision Score
5538
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 06:20 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% |
1703
316.8 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.3 IPS |
|
|
Image Classification (Q)
|
96% |
2013
375.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3069
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7696
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
15838
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13760
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
97% |
3326
264.8 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3793
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6764
52.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13118
101.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9002
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20504
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31513
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26802
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4695
173.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5755
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4317
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5548
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5757
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3096
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6030
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6001
103.7 IPS |
