iPhone 13 Pro Max
Geekbench AI Score
3718
Single Precision Score
4121
Half Precision Score
3563
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 10:37 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% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
1607
298.8 IPS |
|
|
Image Classification (Q)
|
97% |
1351
252.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2460
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11204
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12251
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11246
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
1991
157.9 IPS |
|
|
Object Detection (Q)
|
91% |
1581
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
4540
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
5880
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3976
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8465
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8900
68.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6896
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18800
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20030
25.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18307
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4684
172.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3850
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4104
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
704
12.2 IPS |
