iPhone 14
Geekbench AI Score
3359
Single Precision Score
19640
Half Precision Score
22722
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | pap0gallo |
| Upload Date | February 24 2026 04:39 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
7808
1.45 KIPS |
|
|
Image Classification (Q)
|
97% |
10996
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13047
211.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15076
244.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5947
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
81866
95.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
88630
103.9 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
99% |
11073
880.8 IPS |
|
|
Object Detection (Q)
|
89% |
12407
993.2 IPS |
|
|
Face Detection (SP)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
26681
317.0 IPS |
|
|
Face Detection (Q)
|
100% |
40499
481.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5201
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52111
401.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
66435
519.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17027
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153434
197.2 IPS |
|
|
Style Transfer (Q)
|
96% |
147035
189.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3628
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29876
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29157
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
4439
5.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2372
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3478
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6300
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7355
127.1 IPS |
