iPhone17,2
Geekbench AI Score
4509
Single Precision Score
32366
Half Precision Score
44836
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2024 12:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
15206
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19784
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18217
295.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24024
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8755
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153536
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
295399
346.2 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
16010
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22121
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41175
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
57242
680.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7957
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94991
731.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159630
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24448
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245241
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303691
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5392
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49434
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82447
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4350
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4162
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8983
154.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11101
191.8 IPS |
