iPhone 15 Pro Max
Geekbench AI Score
3947
Single Precision Score
24903
Half Precision Score
33901
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bLoWfIsHrUlEz |
| Upload Date | December 27 2024 02:52 PM |
| Views | 4 |
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% |
1706
317.3 IPS |
|
|
Image Classification (HP)
|
100% |
11305
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15088
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15824
256.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20932
339.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8032
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
107598
125.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
203288
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
13667
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18641
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
34473
409.6 IPS |
|
|
Face Detection (Q)
|
100% |
49934
593.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7000
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78569
605.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
127526
997.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21138
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201684
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
248216
320.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4976
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33793
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57955
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2491
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6145
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7344
126.9 IPS |
