iPhone 15 Pro Max
Geekbench AI Score
4848
Single Precision Score
5806
Half Precision Score
5155
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1861
346.2 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.8 IPS |
|
|
Image Classification (Q)
|
97% |
1788
333.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2721
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3924
63.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4018
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14859
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15831
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14664
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
100% |
2835
224.9 IPS |
|
|
Object Detection (Q)
|
91% |
2212
176.8 IPS |
|
|
Face Detection (SP)
|
100% |
6337
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
8383
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
6278
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11027
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12774
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9953
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29035
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34685
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32439
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6232
230.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6609
244.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5297
195.6 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
963
16.6 IPS |
