iPhone 13 Pro Max
Geekbench AI Score
3190
Single Precision Score
19162
Half Precision Score
22401
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 06:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
7778
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
9644
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12836
208.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15007
243.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6014
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
90088
105.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
96356
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
10218
812.8 IPS |
|
|
Object Detection (Q)
|
91% |
12064
964.0 IPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
28458
338.1 IPS |
|
|
Face Detection (Q)
|
100% |
35505
421.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5247
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56919
438.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
79382
620.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16831
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
149012
191.6 IPS |
|
|
Style Transfer (Q)
|
96% |
154620
199.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26539
980.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27060
999.2 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2290
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3538
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6075
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7004
121.0 IPS |
