iPhone 15 Pro Max
Geekbench AI Score
3688
Single Precision Score
5441
Half Precision Score
4555
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | shakal00 |
| Upload Date | September 04 2024 05:43 AM |
| Views | 5 |
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% |
1700
316.2 IPS |
|
|
Image Classification (HP)
|
100% |
2208
410.7 IPS |
|
|
Image Classification (Q)
|
99% |
2209
412.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1340
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7764
9.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
16019
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13702
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
97% |
2586
205.9 IPS |
|
|
Object Detection (Q)
|
94% |
1984
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
2883
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
3140
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6222
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9558
73.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4994
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19845
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30263
38.9 IPS |
|
|
Style Transfer (Q)
|
100% |
30328
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4630
171.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5706
210.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4350
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3153
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5181
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5137
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4437
76.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4505
77.9 IPS |
