iPhone 15 Pro Max
Geekbench AI Score
4936
Single Precision Score
5920
Half Precision Score
5341
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 03 2025 09:55 AM |
| 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% |
2184
406.2 IPS |
|
|
Image Classification (HP)
|
100% |
2395
445.3 IPS |
|
|
Image Classification (Q)
|
97% |
2161
403.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3725
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3781
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13374
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14252
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13396
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
2706
214.7 IPS |
|
|
Object Detection (Q)
|
91% |
2310
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
6308
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
8370
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
6063
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10930
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11856
91.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10337
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27369
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32540
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30718
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6357
234.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5182
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1352
23.4 IPS |
