iPhone 13 Pro Max
Geekbench AI Score
3772
Single Precision Score
4241
Half Precision Score
3662
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1711
318.2 IPS |
|
|
Image Classification (HP)
|
100% |
1543
287.0 IPS |
|
|
Image Classification (Q)
|
97% |
1355
252.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2232
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2485
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11239
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12276
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11084
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
2008
159.2 IPS |
|
|
Object Detection (Q)
|
91% |
1562
124.8 IPS |
|
|
Face Detection (SP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
5885
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3975
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8481
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8950
69.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6936
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18835
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23277
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21660
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4833
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3894
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4059
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
789
13.6 IPS |
