iPhone 15 Pro Max
Geekbench AI Score
4972
Single Precision Score
6012
Half Precision Score
5361
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | December 05 2024 10:40 PM |
| Views | 14 |
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% |
2173
404.1 IPS |
|
|
Image Classification (HP)
|
100% |
2362
439.2 IPS |
|
|
Image Classification (Q)
|
97% |
2028
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3753
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3765
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13366
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14202
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13401
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
2856
226.5 IPS |
|
|
Object Detection (Q)
|
91% |
2471
197.4 IPS |
|
|
Face Detection (SP)
|
100% |
6364
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
8527
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
6169
73.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10944
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11927
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10297
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27793
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32560
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30163
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6442
237.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5107
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5724
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5710
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1210
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1390
24.0 IPS |
