iPhone 17
Geekbench AI Score
4519
Single Precision Score
35825
Half Precision Score
49608
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | January 01 2026 06:53 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 17 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | Apple A19 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
16260
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22624
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18858
305.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24253
393.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8508
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
154059
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294739
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
17312
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25215
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
40655
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
53469
635.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8012
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101847
784.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
175127
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
21093
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
252323
324.4 IPS |
|
|
Style Transfer (Q)
|
96% |
346059
446.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58424
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87502
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3604
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6664
8.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6512
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10469
180.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11989
207.2 IPS |
