iPhone 15 Pro Max
Geekbench AI Score
3742
Single Precision Score
6659
Half Precision Score
5432
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | December 06 2024 06:18 AM |
| Views | 11 |
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% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
2897
538.7 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2999
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7538
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15355
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13432
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
3259
259.5 IPS |
|
|
Object Detection (Q)
|
94% |
2285
182.1 IPS |
|
|
Face Detection (SP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
6493
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
3729
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6636
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11913
92.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8883
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19022
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31972
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26487
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5975
220.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4368
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5672
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3044
52.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5734
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5679
98.1 IPS |
