Mac16,8
Geekbench AI Score
5773
Single Precision Score
8939
Half Precision Score
6913
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | notakaos |
| Upload Date | November 24 2024 05:31 PM |
| Views | 15 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.4 IPS |
|
|
Image Classification (HP)
|
100% |
3054
567.9 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3560
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18854
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31793
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24363
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
97% |
3825
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4507
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7951
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
4658
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8764
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14433
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10293
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35164
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49507
63.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39279
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7014
259.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9534
352.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5216
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5191
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5759
99.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8722
150.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8739
151.0 IPS |
