iPhone 12 Pro Max
Geekbench AI Score
2771
Single Precision Score
12943
Half Precision Score
13036
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 10:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
4255
791.2 IPS |
|
|
Image Classification (Q)
|
96% |
4464
833.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8385
135.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8950
145.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5460
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
61445
71.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
62267
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
99% |
6239
496.3 IPS |
|
|
Object Detection (Q)
|
91% |
5879
469.8 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
14211
168.9 IPS |
|
|
Face Detection (Q)
|
100% |
11651
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4903
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
38368
295.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
36056
281.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13951
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
100099
128.7 IPS |
|
|
Style Transfer (Q)
|
96% |
102212
131.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2959
109.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17460
644.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17892
660.7 IPS |
|
|
Text Classification (SP)
|
100% |
2137
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2285
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5523
95.4 IPS |
