iPad Pro 13-inch (M4)
Geekbench AI Score
4928
Single Precision Score
36241
Half Precision Score
50800
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 25 2025 04:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
17605
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
23669
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22476
364.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30860
500.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10073
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123359
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232658
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
18012
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25706
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4255
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
42599
506.2 IPS |
|
|
Face Detection (Q)
|
100% |
62175
738.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8527
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99449
766.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
166500
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24267
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
232557
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
322933
416.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51965
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84491
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3135
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5314
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5201
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4598
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16341
281.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17836
308.2 IPS |
