iPhone 15 Pro Max
Geekbench AI Score
3901
Single Precision Score
6807
Half Precision Score
5554
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | December 05 2024 10:37 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1683
312.9 IPS |
|
|
Image Classification (HP)
|
100% |
2922
543.4 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3049
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7792
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
16003
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13914
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3366
268.0 IPS |
|
|
Object Detection (Q)
|
94% |
2378
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6826
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
3870
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6864
52.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13383
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9157
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20774
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32136
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26873
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4857
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4333
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5548
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6017
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6035
104.3 IPS |
