iPhone 15 Pro Max
Geekbench AI Score
4949
Single Precision Score
5950
Half Precision Score
5282
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 08 2025 02:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2199
408.9 IPS |
|
|
Image Classification (HP)
|
100% |
2392
444.8 IPS |
|
|
Image Classification (Q)
|
97% |
2085
389.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3743
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3756
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13299
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14238
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13339
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
2826
224.1 IPS |
|
|
Object Detection (Q)
|
91% |
2386
190.6 IPS |
|
|
Face Detection (SP)
|
100% |
6317
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
8472
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
5984
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10895
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11960
92.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10380
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27484
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32378
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30322
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5979
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6277
231.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4908
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5618
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1361
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1308
22.6 IPS |
