iPad Pro 13-inch (M4)
Geekbench AI Score
4817
Single Precision Score
36541
Half Precision Score
51918
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 02:47 AM |
| Views | 2 |
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 | iPad16,5 |
| 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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
17235
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25017
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22229
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30572
495.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122748
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230622
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18460
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26061
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
42674
507.1 IPS |
|
|
Face Detection (Q)
|
100% |
63297
752.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8585
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98967
762.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
167420
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21487
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234418
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298176
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6053
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49143
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85275
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6362
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4432
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16395
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18058
312.1 IPS |
