iPad Pro 13-inch (M4)
Geekbench AI Score
4886
Single Precision Score
36685
Half Precision Score
51405
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
17099
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24304
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22192
359.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30378
492.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9982
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122827
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231267
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.7 IPS |
|
|
Object Detection (HP)
|
100% |
18468
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26090
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4369
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
43317
514.7 IPS |
|
|
Face Detection (Q)
|
100% |
62980
748.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8704
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100631
775.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166230
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21941
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234670
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298798
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6119
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48908
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82121
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
6199
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6196
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4453
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16541
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18172
314.0 IPS |
