iPhone 15 Pro Max
Geekbench AI Score
3837
Single Precision Score
6704
Half Precision Score
5492
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 01:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1678
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
2890
537.4 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3024
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7675
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15629
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13697
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.1 IPS |
|
|
Object Detection (HP)
|
97% |
3291
262.0 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6619
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3783
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6769
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13127
101.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9028
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20228
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31584
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26640
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4712
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4340
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5487
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5970
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5977
103.3 IPS |
