iPhone 15 Pro Max
Geekbench AI Score
3569
Single Precision Score
5385
Half Precision Score
4425
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | darkagarka |
| Upload Date | August 17 2024 08:57 PM |
| Views | 16 |
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% |
1660
308.8 IPS |
|
|
Image Classification (HP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (Q)
|
99% |
2163
403.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1303
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7036
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14962
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12952
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1637
129.9 IPS |
|
|
Object Detection (HP)
|
97% |
2540
202.2 IPS |
|
|
Object Detection (Q)
|
94% |
1916
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
4751
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
3039
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5909
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9259
71.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4733
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19152
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29682
38.2 IPS |
|
|
Style Transfer (Q)
|
100% |
29609
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4209
155.9 IPS |
|
|
Text Classification (SP)
|
100% |
3131
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
5313
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5172
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2914
50.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4447
76.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4445
76.8 IPS |
