iPhone 12 Pro Max
Geekbench AI Score
1896
Single Precision Score
2212
Half Precision Score
2106
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | November 07 2025 02:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
378
70.2 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.7 IPS |
|
|
Image Classification (Q)
|
96% |
338
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1629
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6127
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8993
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8228
9.65 IPS |
|
|
Object Detection (SP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
92% |
624
49.8 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (Q)
|
100% |
3170
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3419
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5725
44.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5229
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12354
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13676
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13226
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1499
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1358
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3871
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (Q)
|
98% |
527
9.10 IPS |
