iPhone 13 Pro Max
Geekbench AI Score
3096
Single Precision Score
3333
Half Precision Score
1190
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | September 17 2024 07:53 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
1493
277.7 IPS |
|
|
Image Classification (Q)
|
97% |
1378
257.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2418
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11064
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12136
14.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
10979
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1917
152.1 IPS |
|
|
Object Detection (HP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (Q)
|
92% |
1584
126.4 IPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
5808
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3763
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8329
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9017
69.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18312
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22859
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21490
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4979
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3935
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.7 IPS |
|
|
Text Classification (HP)
|
100% |
365
486.8 IPS |
|
|
Text Classification (Q)
|
93% |
241
324.0 IPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1285
22.2 IPS |
