iPad Pro 13-inch (M4)
Geekbench AI Score
4952
Single Precision Score
36406
Half Precision Score
51023
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 04:13 PM |
| Views | 4 |
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% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
18041
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23564
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22383
362.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31138
504.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9989
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123052
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232237
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
17748
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26037
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4284
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42344
503.1 IPS |
|
|
Face Detection (Q)
|
100% |
61795
734.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8537
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99227
764.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
164166
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24298
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234150
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
320432
413.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50922
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82992
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5636
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5554
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16430
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17991
310.9 IPS |
