iPhone 13 Pro Max
Geekbench AI Score
3021
Single Precision Score
3275
Half Precision Score
1250
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | 5.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
1455
270.5 IPS |
|
|
Image Classification (Q)
|
97% |
1368
255.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2411
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11082
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11235
13.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
11052
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1924
152.6 IPS |
|
|
Object Detection (HP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (Q)
|
92% |
1582
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
4630
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
6023
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3885
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8989
69.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17092
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21421
27.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21399
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4490
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4000
147.7 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.2 IPS |
|
|
Text Classification (HP)
|
100% |
366
489.1 IPS |
|
|
Text Classification (Q)
|
93% |
374
502.6 IPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1303
22.5 IPS |
