Mac16,8
Geekbench AI Score
5791
Single Precision Score
9004
Half Precision Score
6916
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | danlopex |
| Upload Date | November 15 2024 08:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,8 |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2106
391.6 IPS |
|
|
Image Classification (HP)
|
100% |
3066
570.1 IPS |
|
|
Image Classification (Q)
|
96% |
2209
412.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3560
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3964
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18998
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31775
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24172
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.7 IPS |
|
|
Object Detection (HP)
|
97% |
3847
306.3 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7897
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
4618
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8805
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14470
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9933
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35808
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50238
64.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38267
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7110
262.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9752
360.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5423
200.3 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5270
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5244
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5672
97.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8899
153.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8891
153.7 IPS |
