iPhone 15 Pro Max
Geekbench AI Score
3895
Single Precision Score
6794
Half Precision Score
5558
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | welduyeyet |
| Upload Date | October 07 2024 04:58 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
2908
540.7 IPS |
|
|
Image Classification (Q)
|
96% |
2007
374.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3081
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7889
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
16085
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14035
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.8 IPS |
|
|
Object Detection (HP)
|
97% |
3299
262.6 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6721
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3844
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6940
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13230
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9092
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20670
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32170
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27122
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4727
174.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5951
219.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4381
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5567
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3081
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6041
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6042
104.4 IPS |
