iPhone 13 Pro Max
Geekbench AI Score
3617
Single Precision Score
4023
Half Precision Score
3605
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
1290
239.8 IPS |
|
|
Image Classification (Q)
|
97% |
1373
256.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2485
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2460
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11214
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12296
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11422
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
2009
159.3 IPS |
|
|
Object Detection (Q)
|
91% |
1612
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
4550
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
6121
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
4040
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8505
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9111
70.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7619
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18229
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18392
23.6 IPS |
|
|
Style Transfer (Q)
|
96% |
16830
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4175
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4575
168.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3979
146.9 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4200
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4178
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
693
12.0 IPS |
