iPhone 15 Pro Max
Geekbench AI Score
4968
Single Precision Score
5896
Half Precision Score
5330
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 02:13 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% |
2257
419.7 IPS |
|
|
Image Classification (HP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (Q)
|
97% |
2143
399.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3748
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3792
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13239
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14064
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13255
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (Q)
|
91% |
2381
190.3 IPS |
|
|
Face Detection (SP)
|
100% |
6304
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
8737
103.8 IPS |
|
|
Face Detection (Q)
|
100% |
6072
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11060
85.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11858
91.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10233
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27156
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32626
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29638
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5967
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6250
230.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5053
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1414
24.4 IPS |
