iPhone 13 Pro Max
Geekbench AI Score
3271
Single Precision Score
19779
Half Precision Score
21744
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | fridriksa |
| Upload Date | November 14 2024 01:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
9297
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
10084
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11954
193.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12803
207.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6578
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
85964
100.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
93077
109.1 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (HP)
|
99% |
10565
840.4 IPS |
|
|
Object Detection (Q)
|
91% |
11516
920.2 IPS |
|
|
Face Detection (SP)
|
100% |
2656
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
28860
342.9 IPS |
|
|
Face Detection (Q)
|
100% |
34225
406.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5473
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54411
419.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
78953
617.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17813
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
155166
199.5 IPS |
|
|
Style Transfer (Q)
|
96% |
156077
201.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3967
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27366
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29504
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1960
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6074
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7002
121.0 IPS |
