iPhone 11 Pro Max
Geekbench AI Score
1740
Single Precision Score
3166
Half Precision Score
2610
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 03:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
793
147.5 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1476
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3670
4.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
6659
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5899
6.91 IPS |
|
|
Object Detection (SP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (HP)
|
97% |
1619
128.9 IPS |
|
|
Object Detection (Q)
|
94% |
1173
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
1654
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
1873
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3193
24.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5934
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4378
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7786
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14182
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
12257
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2761
102.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2106
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2160
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3241
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3195
55.2 IPS |
