Mac16,8
Geekbench AI Score
5799
Single Precision Score
8842
Half Precision Score
6876
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 03:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2083
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
3047
566.7 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2512
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3494
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3913
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18937
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30809
35.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24004
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4585
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7795
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4620
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8819
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14148
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10091
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35480
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48791
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38566
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7034
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9514
351.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5260
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5161
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5167
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5842
100.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8818
152.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8810
152.2 IPS |
