iPhone 15 Pro Max
Geekbench AI Score
3907
Single Precision Score
6753
Half Precision Score
5537
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:45 PM |
| Views | 1 |
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% |
1701
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
96% |
2022
377.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2574
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7740
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
15990
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13941
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
97% |
3206
255.2 IPS |
|
|
Object Detection (Q)
|
94% |
2367
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6596
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3769
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6957
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13232
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9174
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20655
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31559
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27029
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4807
177.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4371
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5482
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5412
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5789
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6034
104.3 IPS |
