iPhone 13 Pro Max
Geekbench AI Score
3230
Single Precision Score
19441
Half Precision Score
19532
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 06:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
7672
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
7704
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13214
214.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12379
200.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6263
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
82831
96.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
82206
96.3 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
99% |
10088
802.5 IPS |
|
|
Object Detection (Q)
|
91% |
11663
931.9 IPS |
|
|
Face Detection (SP)
|
100% |
2661
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
28732
341.4 IPS |
|
|
Face Detection (Q)
|
100% |
36773
436.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5188
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56264
433.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
63851
499.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17517
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
149227
191.8 IPS |
|
|
Style Transfer (Q)
|
96% |
142702
184.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27372
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29926
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
1288
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6069
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6844
118.3 IPS |
