iPhone 15 Pro Max
Geekbench AI Score
3882
Single Precision Score
24630
Half Precision Score
33899
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SR333 |
| Upload Date | October 18 2024 11:11 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1674
311.3 IPS |
|
|
Image Classification (HP)
|
100% |
11236
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
15413
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12930
209.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15958
258.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7524
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
104517
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
204238
239.4 IPS |
|
|
Object Detection (SP)
|
100% |
1777
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
13652
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18972
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
34477
409.7 IPS |
|
|
Face Detection (Q)
|
100% |
50931
605.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6967
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
79168
609.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
128007
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20364
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204125
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
245784
317.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4827
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34593
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56802
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3297
4.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3166
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6237
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7297
126.1 IPS |
