iPhone 13 Pro Max
Geekbench AI Score
3762
Single Precision Score
4236
Half Precision Score
3759
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | December 18 2024 08:47 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1577
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
1513
281.5 IPS |
|
|
Image Classification (Q)
|
97% |
1443
269.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11226
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12213
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11384
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (Q)
|
91% |
1631
130.3 IPS |
|
|
Face Detection (SP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
5870
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8453
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8973
69.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7641
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18800
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23315
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21662
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4953
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4902
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3886
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4152
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4123
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
806
13.9 IPS |
