iPhone 15 Pro Max
Geekbench AI Score
4932
Single Precision Score
5935
Half Precision Score
5274
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Airfox |
| Upload Date | November 14 2024 08:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1784
331.8 IPS |
|
|
Image Classification (HP)
|
100% |
2055
382.2 IPS |
|
|
Image Classification (Q)
|
97% |
1932
360.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3952
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4028
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15032
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15933
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14874
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
2985
236.8 IPS |
|
|
Object Detection (Q)
|
91% |
2353
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
6487
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
8940
106.2 IPS |
|
|
Face Detection (Q)
|
100% |
6443
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11680
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12905
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10812
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29188
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35073
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33661
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6242
230.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6581
243.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5292
195.4 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5542
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5495
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
898
15.5 IPS |
