iPhone 13 Pro Max
Geekbench AI Score
3276
Single Precision Score
19746
Half Precision Score
22096
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
7797
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
10458
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11987
194.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12936
209.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6480
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
85532
99.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
93839
110.0 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
99% |
11434
909.5 IPS |
|
|
Object Detection (Q)
|
91% |
11181
893.4 IPS |
|
|
Face Detection (SP)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
29050
345.2 IPS |
|
|
Face Detection (Q)
|
100% |
34107
405.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5478
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55082
424.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74345
581.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17769
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
156508
201.2 IPS |
|
|
Style Transfer (Q)
|
96% |
153059
197.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3970
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27042
998.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29479
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2439
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6136
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7006
121.1 IPS |
