iPhone 15 Pro
Geekbench AI Score
3790
Single Precision Score
26734
Half Precision Score
36528
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1569
291.7 IPS |
|
|
Image Classification (HP)
|
100% |
10712
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15968
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16402
265.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21154
342.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7318
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
106825
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
205530
240.9 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
13859
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17481
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3093
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
35241
418.7 IPS |
|
|
Face Detection (Q)
|
100% |
50835
604.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6736
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78400
604.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
123554
966.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20781
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
208216
267.7 IPS |
|
|
Style Transfer (Q)
|
96% |
245507
316.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4588
169.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37074
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58634
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5296
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6301
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7279
125.8 IPS |
