iPhone 15
Geekbench AI Score
3407
Single Precision Score
19468
Half Precision Score
22346
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mgoc |
| Upload Date | September 23 2025 03:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 15 |
| Model ID | iPhone15,4 |
| Motherboard | D37AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
6363
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
6722
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16340
264.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19344
313.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6286
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
94222
109.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
100919
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
100% |
9940
788.5 IPS |
|
|
Object Detection (Q)
|
91% |
11919
952.4 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
31141
370.0 IPS |
|
|
Face Detection (Q)
|
100% |
39863
473.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5903
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
56373
434.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
86832
678.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17941
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
162920
209.4 IPS |
|
|
Style Transfer (Q)
|
96% |
165805
214.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3770
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24167
892.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25364
936.6 IPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (Q)
|
93% |
1625
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7217
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8394
145.1 IPS |
