iPhone 15 Pro Max
Geekbench AI Score
5006
Single Precision Score
5996
Half Precision Score
5358
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | applefanatic23 |
| Upload Date | December 30 2024 06:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2311
429.8 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.2 IPS |
|
|
Image Classification (Q)
|
97% |
2167
404.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2772
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3785
61.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3782
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13510
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14325
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13437
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
2845
225.7 IPS |
|
|
Object Detection (Q)
|
91% |
2361
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
6483
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
8602
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
6082
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10954
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12041
92.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10483
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27594
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32446
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30604
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6356
234.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4872
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5630
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5577
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1417
24.5 IPS |
