iPhone 13 Pro Max
Geekbench AI Score
3168
Single Precision Score
5618
Half Precision Score
4509
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Gothic_Day |
| Upload Date | December 09 2024 07:23 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2027
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2409
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6019
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
13644
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11205
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
97% |
2693
214.4 IPS |
|
|
Object Detection (Q)
|
94% |
1917
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
2588
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5533
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3116
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5168
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10844
83.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7335
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16313
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26776
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21919
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4776
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3477
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4211
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4227
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5534
95.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5588
96.6 IPS |
