iPhone 15 Pro Max
Geekbench AI Score
3886
Single Precision Score
25002
Half Precision Score
35028
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 18 2024 08:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1684
313.2 IPS |
|
|
Image Classification (HP)
|
100% |
11452
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
14883
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15613
253.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20928
339.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7769
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
105403
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
203785
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
13686
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19345
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
34936
415.1 IPS |
|
|
Face Detection (Q)
|
100% |
50997
606.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6996
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78668
606.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127291
995.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19358
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202690
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
249192
321.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34439
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59386
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3211
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6242
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7342
126.9 IPS |
