iPhone 13 Pro Max
Geekbench AI Score
3245
Single Precision Score
5695
Half Precision Score
4572
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1367
254.3 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.8 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6270
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
13989
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11741
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
97% |
2728
217.2 IPS |
|
|
Object Detection (Q)
|
94% |
1931
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5617
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3117
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5263
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11053
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7496
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17119
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27343
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22564
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4000
147.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3539
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4132
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5704
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5724
98.9 IPS |
