iPad Pro 13-inch (M4)
Geekbench AI Score
4903
Single Precision Score
36562
Half Precision Score
51701
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
17872
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
24217
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22397
363.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30897
500.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9893
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122832
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231404
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
18075
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26105
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4204
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
42691
507.3 IPS |
|
|
Face Detection (Q)
|
100% |
63489
754.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8462
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98776
761.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167170
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23771
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233545
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
320265
413.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51561
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84959
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5763
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5716
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16417
282.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18290
316.1 IPS |
