iPhone 13 Pro Max
Geekbench AI Score
3769
Single Precision Score
4251
Half Precision Score
3644
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:46 PM |
| 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% |
1711
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
1570
292.0 IPS |
|
|
Image Classification (Q)
|
97% |
1356
253.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11262
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12315
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11100
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1974
156.6 IPS |
|
|
Object Detection (HP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (Q)
|
91% |
1588
126.9 IPS |
|
|
Face Detection (SP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
5932
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
3937
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8435
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9079
69.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6945
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18822
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22993
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21825
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4879
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3845
142.0 IPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
752
13.0 IPS |
