iPhone 15 Pro Max
Geekbench AI Score
4012
Single Precision Score
6879
Half Precision Score
5617
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
2914
541.9 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8343
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
16900
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14724
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
97% |
3383
269.3 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6738
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3875
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7198
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13618
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9353
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21469
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32842
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27657
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5048
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4440
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5680
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5984
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5924
102.4 IPS |
