iPhone 15 Pro Max
Geekbench AI Score
3954
Single Precision Score
24666
Half Precision Score
33594
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 08:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1698
315.7 IPS |
|
|
Image Classification (HP)
|
100% |
10831
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15039
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15860
257.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20867
338.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8130
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
107080
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204701
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (HP)
|
100% |
13883
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18966
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
33629
399.6 IPS |
|
|
Face Detection (Q)
|
100% |
49688
590.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78578
605.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
129323
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21350
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201779
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
246144
317.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5031
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33481
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61233
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2101
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3086
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6214
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7385
127.6 IPS |
