iPhone 15 Pro Max
Geekbench AI Score
4940
Single Precision Score
5958
Half Precision Score
5423
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 06:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.3 IPS |
|
|
Image Classification (Q)
|
97% |
2069
386.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2754
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3746
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3767
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13256
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14125
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13319
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.9 IPS |
|
|
Object Detection (HP)
|
100% |
2896
229.7 IPS |
|
|
Object Detection (Q)
|
91% |
2300
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
6191
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
8402
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
5967
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10852
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11883
91.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10464
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27376
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32558
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30422
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6345
234.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5039
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1722
29.8 IPS |
