iPhone 15 Pro Max
Geekbench AI Score
3817
Single Precision Score
24932
Half Precision Score
34931
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 22 2024 11:53 AM |
| Views | 12 |
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% |
1629
302.9 IPS |
|
|
Image Classification (HP)
|
100% |
10899
2.03 KIPS |
|
|
Image Classification (Q)
|
97% |
15445
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15597
252.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20911
339.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7412
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
101983
119.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
202771
237.7 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.6 IPS |
|
|
Object Detection (HP)
|
100% |
13839
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19444
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
35130
417.4 IPS |
|
|
Face Detection (Q)
|
100% |
50898
604.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6751
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
79560
613.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
128097
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
19854
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200862
258.2 IPS |
|
|
Style Transfer (Q)
|
96% |
248033
320.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4654
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33831
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56246
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3090
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6213
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7558
130.6 IPS |
