iPhone 15 Pro Max
Geekbench AI Score
3862
Single Precision Score
25311
Half Precision Score
35200
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | geckopelli |
| Upload Date | December 29 2024 11:24 PM |
| Views | 5 |
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% |
1688
313.9 IPS |
|
|
Image Classification (HP)
|
100% |
11719
2.18 KIPS |
|
|
Image Classification (Q)
|
97% |
15876
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1601
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15723
254.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20731
336.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7540
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
103905
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
202962
237.9 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.1 IPS |
|
|
Object Detection (HP)
|
100% |
13892
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19006
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
33780
401.4 IPS |
|
|
Face Detection (Q)
|
100% |
50162
596.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6644
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78471
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
129082
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20527
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201736
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
247450
319.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36489
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58304
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3326
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6161
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7404
127.9 IPS |
