iPad Pro 13-inch (M4)
Geekbench AI Score
4979
Single Precision Score
36497
Half Precision Score
51272
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2114
393.2 IPS |
|
|
Image Classification (HP)
|
100% |
17776
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
24771
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22445
363.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30918
501.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122497
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232936
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
17763
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26322
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4332
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
42963
510.5 IPS |
|
|
Face Detection (Q)
|
100% |
63159
750.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8555
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98626
759.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161962
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24258
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233103
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
322574
416.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6041
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52896
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81842
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5635
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16411
282.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18035
311.7 IPS |
