iPhone 15 Pro Max
Geekbench AI Score
3979
Single Precision Score
25446
Half Precision Score
35692
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 09:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
11170
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
14972
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15820
256.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20988
340.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8156
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
107775
125.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204448
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
100% |
13881
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19277
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
34263
407.1 IPS |
|
|
Face Detection (Q)
|
100% |
50247
597.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7164
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78778
606.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
129842
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
21312
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203758
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
249405
321.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5041
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35690
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61861
2.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3526
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6066
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7634
131.9 IPS |
