iPad Pro 13-inch (M4)
Geekbench AI Score
4954
Single Precision Score
36555
Half Precision Score
51319
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 17 2026 12:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2116
393.5 IPS |
|
|
Image Classification (HP)
|
100% |
16995
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
22896
4.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22494
364.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30917
501.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122813
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232781
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
17485
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
26258
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43932
522.0 IPS |
|
|
Face Detection (Q)
|
100% |
62466
742.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8496
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100629
775.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171368
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24242
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
235692
303.0 IPS |
|
|
Style Transfer (Q)
|
96% |
322915
416.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53567
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83241
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4548
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16533
284.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18224
314.9 IPS |
