iPhone 15 Pro Max
Geekbench AI Score
3566
Single Precision Score
5380
Half Precision Score
4482
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Superduck |
| Upload Date | August 16 2024 04:57 AM |
| Views | 2 |
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% |
1615
300.4 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.5 IPS |
|
|
Image Classification (Q)
|
99% |
2201
410.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1373
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7104
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
15091
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
13101
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1676
132.9 IPS |
|
|
Object Detection (HP)
|
97% |
2523
200.8 IPS |
|
|
Object Detection (Q)
|
94% |
1944
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
2987
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5918
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9383
72.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4818
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19275
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29636
38.1 IPS |
|
|
Style Transfer (Q)
|
100% |
29489
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4413
163.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5806
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4310
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5177
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4368
75.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4519
78.1 IPS |
