iPad Pro 13-inch (M4)
Geekbench AI Score
4709
Single Precision Score
36097
Half Precision Score
50886
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 05:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
16722
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
23808
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21889
354.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30096
487.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123354
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231787
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
100% |
18137
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25750
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
43366
515.3 IPS |
|
|
Face Detection (Q)
|
100% |
62646
744.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98276
757.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169962
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25158
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235103
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294772
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48387
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82340
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5830
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5794
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16230
279.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18179
314.2 IPS |
