iPad Pro 13-inch (M4)
Geekbench AI Score
4964
Single Precision Score
36510
Half Precision Score
51528
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 15 2026 12:56 PM |
| Views | 8 |
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% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
17120
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24205
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22343
362.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30994
502.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10092
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122874
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232398
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
18085
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26032
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4298
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
43729
519.6 IPS |
|
|
Face Detection (Q)
|
100% |
62645
744.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8574
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99720
768.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166695
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24344
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232076
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
319050
411.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52758
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85557
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5630
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16472
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18180
314.2 IPS |
