iPhone 13 Pro Max
Geekbench AI Score
3291
Single Precision Score
5690
Half Precision Score
4616
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | September 11 2024 01:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.7 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2459
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6677
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14530
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12313
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
2737
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
1944
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2701
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5718
67.9 IPS |
|
|
Face Detection (Q)
|
100% |
3260
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5574
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11173
86.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7634
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17839
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26983
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22503
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4026
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5708
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5747
99.3 IPS |
