iPhone 15 Pro Max
Geekbench AI Score
3965
Single Precision Score
24720
Half Precision Score
35126
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | aliensporebomb |
| Upload Date | December 21 2024 02:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
11532
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
15541
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15540
251.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
20900
338.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8062
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
105557
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
204381
239.5 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
13685
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18732
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
33651
399.9 IPS |
|
|
Face Detection (Q)
|
100% |
50624
601.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7090
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78578
605.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
127594
997.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21416
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202868
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
244586
315.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33561
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58970
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3235
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6137
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7630
131.9 IPS |
