iPhone 13 Pro Max
Geekbench AI Score
3295
Single Precision Score
18770
Half Precision Score
20902
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ConnorTung09 |
| Upload Date | November 24 2024 12:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
7974
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9379
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11935
193.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12772
207.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6592
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
87467
102.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
93938
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
99% |
10550
839.2 IPS |
|
|
Object Detection (Q)
|
91% |
11372
908.7 IPS |
|
|
Face Detection (SP)
|
100% |
2723
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
25313
300.8 IPS |
|
|
Face Detection (Q)
|
100% |
34151
405.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5549
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56296
433.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
70941
554.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17814
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
157744
202.8 IPS |
|
|
Style Transfer (Q)
|
96% |
152505
196.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3955
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26114
964.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28678
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2461
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2303
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4578
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5099
88.1 IPS |
