iPhone 15 Pro Max
Geekbench AI Score
3394
Single Precision Score
4908
Half Precision Score
4430
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1480
275.2 IPS |
|
|
Image Classification (HP)
|
100% |
1779
330.8 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2002
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6801
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
14269
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12553
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.2 IPS |
|
|
Object Detection (HP)
|
97% |
2499
199.0 IPS |
|
|
Object Detection (Q)
|
94% |
1784
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (HP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (Q)
|
100% |
2795
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5656
43.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
6793
52.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6555
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16003
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30866
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26036
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6152
227.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3920
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (HP)
|
100% |
5294
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5191
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2653
45.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4055
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4090
70.7 IPS |
