iPad16,6
Geekbench AI Score
4700
Single Precision Score
36469
Half Precision Score
51765
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | lumisade |
| Upload Date | November 02 2024 08:55 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
16795
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
24542
4.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22052
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30325
491.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123707
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232967
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.8 IPS |
|
|
Object Detection (HP)
|
100% |
18429
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25910
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
42845
509.1 IPS |
|
|
Face Detection (Q)
|
100% |
63144
750.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99767
768.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168829
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25105
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234441
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298278
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5827
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49759
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84142
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6011
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6369
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16446
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18050
311.9 IPS |
