iPhone 15 Pro Max
Geekbench AI Score
4115
Single Precision Score
4616
Half Precision Score
1605
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1701
316.3 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.8 IPS |
|
|
Image Classification (Q)
|
97% |
1708
318.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3895
63.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3962
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14902
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15952
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14660
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2598
206.1 IPS |
|
|
Object Detection (HP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (Q)
|
92% |
2335
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
6414
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
8558
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
5993
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11351
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12866
99.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29425
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34947
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32719
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6170
227.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6651
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5248
193.8 IPS |
|
|
Text Classification (SP)
|
100% |
468
625.2 IPS |
|
|
Text Classification (HP)
|
100% |
505
673.7 IPS |
|
|
Text Classification (Q)
|
93% |
310
416.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1152
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1536
26.5 IPS |
