iPhone 17 Pro
Geekbench AI Score
4800
Single Precision Score
34808
Half Precision Score
46967
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 26 2026 07:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
432.0 IPS |
|
|
Image Classification (HP)
|
100% |
16354
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
22714
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16908
274.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22806
369.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7940
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
150049
175.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
276485
324.1 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
17787
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25166
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4163
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
40003
475.3 IPS |
|
|
Face Detection (Q)
|
100% |
52257
620.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8117
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103366
796.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161416
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22993
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
222753
286.4 IPS |
|
|
Style Transfer (Q)
|
96% |
308071
397.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5476
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56134
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84509
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6457
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6247
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10598
182.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10565
182.6 IPS |
