iPhone 15 Pro Max
Geekbench AI Score
4756
Single Precision Score
5750
Half Precision Score
4314
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | abhimanbhau |
| Upload Date | August 30 2024 10:26 PM |
| Views | 4 |
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% |
1545
287.3 IPS |
|
|
Image Classification (HP)
|
100% |
1704
316.9 IPS |
|
|
Image Classification (Q)
|
99% |
2121
395.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3883
62.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3912
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14416
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15798
18.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
14184
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
2802
222.3 IPS |
|
|
Object Detection (Q)
|
91% |
2219
177.3 IPS |
|
|
Face Detection (SP)
|
100% |
6175
73.4 IPS |
|
|
Face Detection (HP)
|
100% |
8877
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
6289
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11351
87.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12514
96.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1493
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29374
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35081
45.1 IPS |
|
|
Style Transfer (Q)
|
100% |
34989
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6302
232.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6623
244.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5035
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
947
16.4 IPS |
