iPad Pro 13-inch (M4)
Geekbench AI Score
4806
Single Precision Score
36569
Half Precision Score
51726
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 10:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
17309
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24728
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21994
356.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30300
491.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122818
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231835
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
18429
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25749
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4268
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43317
514.7 IPS |
|
|
Face Detection (Q)
|
100% |
63440
753.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8577
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98620
759.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
173323
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
21648
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234744
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
297933
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6062
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49194
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82064
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6059
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6227
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16610
286.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18313
316.5 IPS |
