iPhone 17 Pro
Geekbench AI Score
5182
Single Precision Score
38340
Half Precision Score
52721
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
2316
430.7 IPS |
|
|
Image Classification (HP)
|
100% |
16370
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
21511
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20303
329.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26275
425.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8397
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
148762
173.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
295899
346.8 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
17915
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
25394
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4603
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
43047
511.5 IPS |
|
|
Face Detection (Q)
|
100% |
63189
750.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7800
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104754
807.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
174660
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
20892
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
259366
333.4 IPS |
|
|
Style Transfer (Q)
|
96% |
322108
415.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55973
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83745
3.09 KIPS |
|
|
Text Classification (SP)
|
99% |
6816
9.10 KIPS |
|
|
Text Classification (HP)
|
99% |
10800
14.4 KIPS |
|
|
Text Classification (Q)
|
92% |
10896
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10960
188.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12044
208.1 IPS |
