iPhone 15 Pro Max
Geekbench AI Score
5035
Single Precision Score
5981
Half Precision Score
5292
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | December 13 2024 10:30 PM |
| Views | 2 |
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% |
2250
418.4 IPS |
|
|
Image Classification (HP)
|
100% |
2445
454.7 IPS |
|
|
Image Classification (Q)
|
97% |
2093
390.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3752
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3750
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13409
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14280
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13431
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
100% |
2798
222.0 IPS |
|
|
Object Detection (Q)
|
91% |
2392
191.2 IPS |
|
|
Face Detection (SP)
|
100% |
6484
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
8419
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
6040
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10950
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12065
93.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10383
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27686
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32316
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30688
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6405
236.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4891
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1253
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1325
22.9 IPS |
