iPhone 15 Pro Max
Geekbench AI Score
3919
Single Precision Score
24964
Half Precision Score
35307
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | miso0001 |
| Upload Date | December 08 2024 06:16 PM |
| Views | 3 |
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% |
1705
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
11242
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
16910
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15731
255.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20706
335.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7774
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
107687
125.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
202997
237.9 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
13730
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19317
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
34411
408.9 IPS |
|
|
Face Detection (Q)
|
100% |
50945
605.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7041
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78874
607.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
128152
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20784
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
201326
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
247135
318.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4915
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34255
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58432
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3161
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6243
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7358
127.2 IPS |
