iPhone 15 Pro Max
Geekbench AI Score
5015
Single Precision Score
5990
Half Precision Score
5373
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | absolutzombie |
| Upload Date | February 13 2025 03:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2221
413.0 IPS |
|
|
Image Classification (HP)
|
100% |
2436
453.1 IPS |
|
|
Image Classification (Q)
|
97% |
2141
399.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2793
45.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3829
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13507
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14262
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13409
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2528
200.5 IPS |
|
|
Object Detection (HP)
|
100% |
2917
231.4 IPS |
|
|
Object Detection (Q)
|
91% |
2380
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
6273
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
8445
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
5967
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11007
84.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12111
93.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10540
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27741
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30793
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30774
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6448
238.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5161
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5707
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5686
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1351
23.3 IPS |
