iPhone 15 Pro Max
Geekbench AI Score
3971
Single Precision Score
6845
Half Precision Score
5601
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:03 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% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
2909
541.0 IPS |
|
|
Image Classification (Q)
|
96% |
2000
373.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3080
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8250
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
16603
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14506
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
97% |
3358
267.3 IPS |
|
|
Object Detection (Q)
|
94% |
2343
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3202
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6762
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3887
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7120
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13470
104.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9299
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21279
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32611
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27476
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4963
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5857
216.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4433
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5563
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6007
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6039
104.4 IPS |
