iPhone 15 Pro Max
Geekbench AI Score
3904
Single Precision Score
6792
Half Precision Score
5549
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 05:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
2913
541.7 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3073
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7782
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15716
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13930
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
97% |
3315
263.9 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6685
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3833
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6943
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13217
102.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9110
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20720
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32011
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27044
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4814
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5950
219.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4435
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5685
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5487
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6054
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5976
103.3 IPS |
