iPhone 13 Pro Max
Geekbench AI Score
3286
Single Precision Score
5709
Half Precision Score
4616
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:21 AM |
| Views | 1 |
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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2377
442.0 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2490
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6470
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14285
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11885
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2760
219.7 IPS |
|
|
Object Detection (Q)
|
94% |
1940
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5693
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
3213
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5521
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11213
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7646
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17596
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27062
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22606
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4006
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4738
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.0 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4159
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5761
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5761
99.6 IPS |
