iPad Pro 13-inch (M4)
Geekbench AI Score
4931
Single Precision Score
36271
Half Precision Score
51417
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 26 2025 09:43 PM |
| Views | 2 |
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 | iPad16,5 |
| 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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
16867
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
24805
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22323
361.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30808
499.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9997
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122750
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231792
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
17741
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26087
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
43703
519.3 IPS |
|
|
Face Detection (Q)
|
100% |
62540
743.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8491
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98729
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162936
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24257
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232528
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
319495
412.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50769
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83778
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5702
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4611
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16552
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18178
314.1 IPS |
