iPad Pro 13-inch (M4)
Geekbench AI Score
2723
Single Precision Score
22232
Half Precision Score
31522
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 01:35 AM |
| 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% |
1072
199.4 IPS |
|
|
Image Classification (HP)
|
100% |
11663
2.17 KIPS |
|
|
Image Classification (Q)
|
97% |
16682
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13337
216.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19055
308.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5673
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68570
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
129531
151.8 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
12031
954.3 IPS |
|
|
Object Detection (Q)
|
91% |
16320
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
2250
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
25787
306.4 IPS |
|
|
Face Detection (Q)
|
100% |
34952
415.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4624
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
60986
469.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
104838
819.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12932
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
150504
193.5 IPS |
|
|
Style Transfer (Q)
|
96% |
214802
277.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3214
118.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33458
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55172
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
1902
2.54 KIPS |
|
|
Text Classification (HP)
|
99% |
3234
4.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3230
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2671
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8979
154.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10279
177.6 IPS |
