iPhone 13 Pro Max
Geekbench AI Score
3177
Single Precision Score
5600
Half Precision Score
4490
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:44 PM |
| 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% |
1279
237.9 IPS |
|
|
Image Classification (HP)
|
100% |
2344
435.8 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2404
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5527
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
12254
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10274
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.7 IPS |
|
|
Object Detection (HP)
|
97% |
2723
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
1945
155.0 IPS |
|
|
Face Detection (SP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5658
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
3113
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5378
41.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11044
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7561
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16837
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26692
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22583
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4014
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4914
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3524
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4160
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5690
98.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5639
97.4 IPS |
