iPhone 15 Pro Max
Geekbench AI Score
4981
Single Precision Score
5937
Half Precision Score
5298
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 17 2025 09:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2199
408.9 IPS |
|
|
Image Classification (HP)
|
100% |
2437
453.2 IPS |
|
|
Image Classification (Q)
|
97% |
2055
383.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2805
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3735
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3754
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13373
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14202
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13329
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
2680
212.5 IPS |
|
|
Object Detection (Q)
|
91% |
2284
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
6249
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
8432
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
5983
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10877
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11724
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10267
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27386
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32556
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30585
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6047
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6231
230.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4968
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5601
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5594
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1421
24.5 IPS |
