iPhone 12 Pro Max
Geekbench AI Score
2590
Single Precision Score
4674
Half Precision Score
3904
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | November 07 2025 02:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1187
220.7 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.9 IPS |
|
|
Image Classification (Q)
|
96% |
1448
270.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1718
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2143
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4783
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
10628
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9444
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1206
95.7 IPS |
|
|
Object Detection (HP)
|
97% |
2202
175.3 IPS |
|
|
Object Detection (Q)
|
94% |
1628
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4619
54.9 IPS |
|
|
Face Detection (Q)
|
100% |
2679
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4515
34.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9163
70.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6607
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12769
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21623
27.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18917
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2665
98.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4172
154.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3208
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4105
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4133
71.4 IPS |
