iPad Pro 13-inch (M4)
Geekbench AI Score
4850
Single Precision Score
36577
Half Precision Score
52396
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 12 2025 06:05 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| 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% |
2099
390.4 IPS |
|
|
Image Classification (HP)
|
100% |
17580
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
28360
5.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22192
359.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30396
492.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9903
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122819
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231750
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
18309
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25711
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4334
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
42178
501.2 IPS |
|
|
Face Detection (Q)
|
100% |
63077
749.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8617
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100334
773.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166665
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21582
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234135
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299217
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6065
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48765
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83770
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6434
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4466
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17910
309.5 IPS |
