iPhone 15 Pro
Geekbench AI Score
3731
Single Precision Score
25669
Half Precision Score
34292
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | February 21 2026 03:17 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
10038
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
13177
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16743
271.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21638
350.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7117
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
104781
122.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
198652
232.8 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
100% |
13064
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
15567
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
35209
418.4 IPS |
|
|
Face Detection (Q)
|
100% |
51423
611.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6566
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74414
573.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
105689
826.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19765
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
198597
255.3 IPS |
|
|
Style Transfer (Q)
|
96% |
235465
303.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4497
166.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33305
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54548
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5690
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5528
95.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6422
111.0 IPS |
