iPhone 15 Pro Max
Geekbench AI Score
5046
Single Precision Score
6092
Half Precision Score
5413
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oldnick |
| Upload Date | December 31 2024 01:15 PM |
| Views | 2 |
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% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
2507
466.2 IPS |
|
|
Image Classification (Q)
|
97% |
2163
403.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2816
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3868
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3890
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13803
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14343
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13555
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
2953
234.3 IPS |
|
|
Object Detection (Q)
|
91% |
2443
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
6390
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
8669
103.0 IPS |
|
|
Face Detection (Q)
|
100% |
6289
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11070
85.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11982
92.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10523
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28228
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33053
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30804
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6236
230.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4858
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5615
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1428
24.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1418
24.5 IPS |
