iPhone 15 Pro Max
Geekbench AI Score
3711
Single Precision Score
5423
Half Precision Score
4549
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | CME |
| Upload Date | August 15 2024 06:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1744
324.4 IPS |
|
|
Image Classification (HP)
|
100% |
2188
406.9 IPS |
|
|
Image Classification (Q)
|
99% |
2202
410.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1336
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7786
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15822
18.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13887
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
97% |
2557
203.6 IPS |
|
|
Object Detection (Q)
|
94% |
1971
157.1 IPS |
|
|
Face Detection (SP)
|
100% |
2849
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4902
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
3150
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6289
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9545
73.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4939
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20123
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30400
39.1 IPS |
|
|
Style Transfer (Q)
|
100% |
30321
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4685
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4333
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3154
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5182
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5162
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2807
48.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4484
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4469
77.2 IPS |
