iPhone 15 Pro Max
Geekbench AI Score
4870
Single Precision Score
5712
Half Precision Score
5203
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 05:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1933
359.4 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.5 IPS |
|
|
Image Classification (Q)
|
97% |
1784
332.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3953
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4013
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15091
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15866
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14972
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
2816
223.4 IPS |
|
|
Object Detection (Q)
|
91% |
2412
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
6125
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
8781
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
6108
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11446
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12785
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10881
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29303
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35180
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33494
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6198
228.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6482
239.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5192
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5370
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5299
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
885
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
920
15.9 IPS |
