iPhone 15 Pro Max
Geekbench AI Score
3692
Single Precision Score
6707
Half Precision Score
5420
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wisely_2023 |
| Upload Date | January 09 2025 04:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1668
310.1 IPS |
|
|
Image Classification (HP)
|
100% |
2984
554.9 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2918
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7361
8.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
15018
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13279
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1617
128.2 IPS |
|
|
Object Detection (HP)
|
97% |
3018
240.2 IPS |
|
|
Object Detection (Q)
|
94% |
2201
175.5 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
6501
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
3681
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6340
48.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12365
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8627
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18622
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31361
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26385
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4426
163.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4283
158.2 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5751
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5704
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6147
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6175
106.7 IPS |
