iPhone 15 Pro Max
Geekbench AI Score
5007
Single Precision Score
6044
Half Precision Score
5315
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aliensporebomb |
| Upload Date | December 21 2024 02:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2365
439.9 IPS |
|
|
Image Classification (HP)
|
100% |
2424
450.7 IPS |
|
|
Image Classification (Q)
|
97% |
2094
390.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2740
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3731
60.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3745
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13353
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14216
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13368
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
2970
235.5 IPS |
|
|
Object Detection (Q)
|
91% |
2361
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
6259
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
8474
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
6130
72.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10863
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11933
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10333
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27601
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32663
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30525
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6470
238.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5086
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5762
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1340
23.2 IPS |
