iPhone 15 Pro Max
Geekbench AI Score
4995
Single Precision Score
5959
Half Precision Score
5355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pakitt |
| Upload Date | January 30 2025 08:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.9 IPS |
|
|
Image Classification (Q)
|
97% |
2080
388.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2764
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3745
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3774
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13529
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14396
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13515
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
100% |
2884
228.8 IPS |
|
|
Object Detection (Q)
|
91% |
2374
189.7 IPS |
|
|
Face Detection (SP)
|
100% |
6309
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
8472
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
6088
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11069
85.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11937
92.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10434
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27677
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32517
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30773
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6260
231.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5677
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1393
24.1 IPS |
