Mac16,1
Geekbench AI Score
9140
Single Precision Score
11181
Half Precision Score
9867
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | burakozaydin |
| Upload Date | November 09 2024 08:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4690
872.1 IPS |
|
|
Image Classification (HP)
|
100% |
5072
943.2 IPS |
|
|
Image Classification (Q)
|
97% |
4469
834.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4927
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7064
114.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7664
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29857
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32108
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30538
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5012
397.6 IPS |
|
|
Object Detection (HP)
|
100% |
5486
435.2 IPS |
|
|
Object Detection (Q)
|
91% |
4665
372.8 IPS |
|
|
Face Detection (SP)
|
100% |
12893
153.2 IPS |
|
|
Face Detection (HP)
|
100% |
16714
198.6 IPS |
|
|
Face Detection (Q)
|
100% |
12387
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21359
164.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23738
182.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20099
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58464
75.2 IPS |
|
|
Style Transfer (HP)
|
100% |
71719
92.2 IPS |
|
|
Style Transfer (Q)
|
96% |
67922
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12457
460.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13736
507.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10937
403.8 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5548
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5554
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2010
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1746
30.2 IPS |
