iPhone 17 Pro
Geekbench AI Score
4853
Single Precision Score
34477
Half Precision Score
46425
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | fatcatmac |
| Upload Date | March 26 2026 03:04 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2327
432.8 IPS |
|
|
Image Classification (HP)
|
100% |
16084
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22582
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19695
319.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24900
403.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9215
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
148532
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
272434
319.3 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
17501
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
26428
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4249
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
38348
455.7 IPS |
|
|
Face Detection (Q)
|
100% |
49191
584.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8304
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100860
777.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
142596
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
21684
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
220260
283.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301477
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5500
203.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50341
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80167
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6554
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6238
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10254
176.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10865
187.8 IPS |
