Mac16,8
Geekbench AI Score
5750
Single Precision Score
8889
Half Precision Score
6887
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 09:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
3061
569.3 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2514
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3558
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18995
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30976
36.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24064
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3858
307.1 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7946
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4671
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14279
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10064
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33777
43.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49242
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38798
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7104
262.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9148
337.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5189
191.6 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5259
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5180
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5803
100.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8811
152.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8857
153.1 IPS |
