iPhone 15 Pro Max
Geekbench AI Score
3806
Single Precision Score
6698
Half Precision Score
5494
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Blueturbos4 |
| Upload Date | November 19 2024 02:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1608
299.1 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3065
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7128
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15444
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13558
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
97% |
3268
260.2 IPS |
|
|
Object Detection (Q)
|
94% |
2327
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6508
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3754
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6799
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13185
101.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9023
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20560
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31618
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26507
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4722
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4378
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5991
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5995
103.6 IPS |
