Mac16,11
Geekbench AI Score
5733
Single Precision Score
8884
Half Precision Score
7455
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | drjuso |
| Upload Date | March 17 2025 05:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
3060
569.1 IPS |
|
|
Image Classification (Q)
|
99% |
3063
571.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3566
57.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18469
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30870
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23382
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
4434
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
7718
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4617
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8841
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14590
112.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
14246
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35825
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48472
62.3 IPS |
|
|
Style Transfer (Q)
|
100% |
49393
63.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7007
258.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9496
350.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5265
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5217
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5225
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5652
97.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8877
153.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8863
153.2 IPS |
