iPhone 15 Pro Max
Geekbench AI Score
4889
Single Precision Score
5889
Half Precision Score
4921
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | pavelve |
| Upload Date | September 25 2024 12:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1744
324.3 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (Q)
|
97% |
1763
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2987
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3912
63.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4019
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15081
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15908
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14667
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (Q)
|
91% |
2477
197.9 IPS |
|
|
Face Detection (SP)
|
100% |
6434
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
8918
106.0 IPS |
|
|
Face Detection (Q)
|
100% |
6179
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11847
91.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12805
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10396
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29700
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34920
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32179
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6364
235.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6721
248.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5385
198.8 IPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5603
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5577
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
522
9.02 IPS |
