iPad Pro 13-inch (M4)
Geekbench AI Score
4714
Single Precision Score
36139
Half Precision Score
51035
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 11:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2009
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
16823
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
24761
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21941
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30539
495.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123499
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232559
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
18151
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25355
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43282
514.3 IPS |
|
|
Face Detection (Q)
|
100% |
62627
744.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8319
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98501
758.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
166645
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25068
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234617
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298960
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5880
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48216
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82925
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5792
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17836
308.2 IPS |
