iPhone 13 Pro Max - AI - GPU iPhone 13 Pro Max
Geekbench AI Score
3743
Single Precision Score
4231
Half Precision Score
3763
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ghostiman |
| Upload Date | December 14 2024 12:53 AM |
| Views | 7 |
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% |
1523
283.2 IPS |
|
|
Image Classification (HP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (Q)
|
97% |
1459
272.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2298
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2440
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11172
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12230
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11464
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (Q)
|
91% |
1613
128.9 IPS |
|
|
Face Detection (SP)
|
100% |
4673
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
6014
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
4032
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8471
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8872
68.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7515
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18749
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23353
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21693
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4850
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4908
181.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3904
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
828
14.3 IPS |
