iPhone 13 Pro Max
Geekbench AI Score
3773
Single Precision Score
4246
Half Precision Score
3631
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
1537
285.8 IPS |
|
|
Image Classification (Q)
|
97% |
1346
251.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2458
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11254
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12268
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11198
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
1989
157.7 IPS |
|
|
Object Detection (Q)
|
91% |
1550
123.9 IPS |
|
|
Face Detection (SP)
|
100% |
4611
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
5964
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3920
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8400
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8967
69.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6909
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18745
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23196
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21378
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3847
142.1 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
771
13.3 IPS |
