Mac16,11
Geekbench AI Score
5770
Single Precision Score
9001
Half Precision Score
6934
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | amoudruz |
| Upload Date | November 12 2024 04:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2123
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
3119
580.0 IPS |
|
|
Image Classification (Q)
|
96% |
2175
406.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3535
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3975
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18741
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31445
36.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24110
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7728
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4613
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8657
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14503
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10231
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35917
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51071
65.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39006
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7128
263.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9564
353.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5308
196.0 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5303
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5259
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5655
97.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8929
154.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8927
154.3 IPS |
