iPad Pro 11-inch (M4)
Geekbench AI Score
4993
Single Precision Score
36535
Half Precision Score
51159
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 11:14 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
18005
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
24785
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22399
363.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31051
503.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10104
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122795
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232264
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
100% |
17769
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25245
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42614
506.4 IPS |
|
|
Face Detection (Q)
|
100% |
61684
732.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8618
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99171
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163954
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24464
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234561
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
321400
414.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50368
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83727
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5745
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4613
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16792
289.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18043
311.8 IPS |
