iPhone 15 Pro Max
Geekbench AI Score
3911
Single Precision Score
6771
Half Precision Score
5550
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:21 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% |
1717
319.4 IPS |
|
|
Image Classification (HP)
|
100% |
2904
540.1 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3069
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7925
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
16105
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13992
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1769
140.3 IPS |
|
|
Object Detection (HP)
|
97% |
3314
263.9 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3178
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6699
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3832
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6892
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13278
102.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9156
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20867
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32010
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26873
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4378
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6021
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5978
103.3 IPS |
