iPhone 13 Pro Max
Geekbench AI Score
3671
Single Precision Score
4099
Half Precision Score
3636
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MickaEricLBui |
| Upload Date | December 12 2024 08:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1521
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (Q)
|
97% |
1480
276.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2485
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11204
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12053
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11290
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1895
150.3 IPS |
|
|
Object Detection (HP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (Q)
|
91% |
1558
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
6231
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
4122
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9077
69.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7356
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18396
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20717
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19330
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4261
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4787
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3806
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4081
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4092
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
685
11.8 IPS |
