iPad16,2
Geekbench AI Score
4048
Single Precision Score
24987
Half Precision Score
34920
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 08 2024 08:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1753
326.0 IPS |
|
|
Image Classification (HP)
|
100% |
10738
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15288
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15910
257.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21021
340.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8048
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
107003
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
205667
241.1 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
13520
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18815
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3402
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
35227
418.6 IPS |
|
|
Face Detection (Q)
|
100% |
50239
596.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7153
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78820
607.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
128214
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21199
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204916
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
251690
324.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34308
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58652
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3134
4.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3091
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6275
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7378
127.5 IPS |
