iPad Pro 13-inch (M4)
Geekbench AI Score
4940
Single Precision Score
36290
Half Precision Score
51365
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:10 PM |
| Views | 1 |
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 | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2126
395.4 IPS |
|
|
Image Classification (HP)
|
100% |
16997
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
23994
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22372
362.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30898
500.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10021
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122757
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232194
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
17978
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25784
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4286
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42793
508.5 IPS |
|
|
Face Detection (Q)
|
100% |
62080
737.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8467
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99183
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165619
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24269
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232751
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
322703
416.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51294
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86365
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5633
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4563
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16543
285.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18210
314.7 IPS |
