iPhone 15 Pro Max
Geekbench AI Score
3963
Single Precision Score
25089
Half Precision Score
34893
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pu154r |
| Upload Date | November 15 2024 11:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
11122
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15372
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15802
256.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20882
338.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8039
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
106287
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
203699
238.7 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
100% |
13893
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19223
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
35172
417.9 IPS |
|
|
Face Detection (Q)
|
100% |
50420
599.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7143
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78714
606.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
127996
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21116
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201912
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
246861
318.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4919
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35154
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55666
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3131
4.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3272
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6191
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7336
126.8 IPS |
