iPad16,8
Geekbench AI Score
5149
Single Precision Score
38436
Half Precision Score
54602
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | noteventhrice |
| Upload Date | April 05 2026 02:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad16,8 |
| Model ID | iPad16,8 |
| Motherboard | J707AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| Memory Information | |
|---|---|
| Size | 11.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
16970
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
25030
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22478
364.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32148
521.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8890
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122520
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232564
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
17707
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
26104
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
45044
535.2 IPS |
|
|
Face Detection (Q)
|
100% |
70275
835.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8152
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98788
761.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163329
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
22975
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234564
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
288813
372.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5336
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50223
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82430
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
6434
8.59 KIPS |
|
|
Text Classification (HP)
|
99% |
9722
13.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9599
12.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
4477
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16688
287.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18386
317.7 IPS |
