Mac16,1
Geekbench AI Score
4834
Single Precision Score
7878
Half Precision Score
6820
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | weinand |
| Upload Date | April 07 2025 09:24 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.7 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.3 IPS |
|
|
Image Classification (Q)
|
99% |
3323
619.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3331
54.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3314
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9931
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19382
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16391
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4131
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
7391
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4284
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8577
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14534
112.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
14596
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21570
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38426
49.4 IPS |
|
|
Style Transfer (Q)
|
100% |
38405
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7070
261.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4942
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5468
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5342
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7065
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7055
121.9 IPS |
