iPhone 15 Pro Max
Geekbench AI Score
3870
Single Precision Score
6780
Half Precision Score
5535
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 02:37 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% |
1700
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
2921
543.3 IPS |
|
|
Image Classification (Q)
|
96% |
2010
375.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3079
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7678
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15795
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13698
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.1 IPS |
|
|
Object Detection (HP)
|
97% |
3342
266.0 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6716
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3815
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6818
52.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13072
101.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9031
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20348
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31792
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26825
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5794
214.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4346
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6290
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6080
105.1 IPS |
