iPhone 13 Pro Max
Geekbench AI Score
3738
Single Precision Score
4150
Half Precision Score
3768
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ConnorTung09 |
| Upload Date | November 24 2024 12:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1567
291.5 IPS |
|
|
Image Classification (HP)
|
100% |
1196
222.4 IPS |
|
|
Image Classification (Q)
|
97% |
1447
270.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2460
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11259
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12295
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11395
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
2027
160.8 IPS |
|
|
Object Detection (Q)
|
91% |
1677
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
4616
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
4044
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8468
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8955
69.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7277
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18816
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23236
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21743
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4898
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4164
153.8 IPS |
|
|
Text Classification (SP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4219
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4192
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
760
13.1 IPS |
