iPhone 15 Pro Max
Geekbench AI Score
3602
Single Precision Score
5349
Half Precision Score
4628
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
2184
406.1 IPS |
|
|
Image Classification (Q)
|
96% |
1649
308.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2049
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7300
8.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
15269
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13377
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1681
133.3 IPS |
|
|
Object Detection (HP)
|
97% |
2535
201.9 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4776
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
3052
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5990
46.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
9305
71.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6952
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19214
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29464
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24947
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4440
163.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5651
208.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4261
157.3 IPS |
|
|
Text Classification (SP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5198
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5157
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4462
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4429
76.5 IPS |
