Mac16,1
Geekbench AI Score
4710
Single Precision Score
36602
Half Precision Score
51851
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | November 04 2024 09:21 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
16995
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
24988
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21634
350.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30012
486.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123542
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232218
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.1 IPS |
|
|
Object Detection (HP)
|
100% |
18576
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25654
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3916
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
43255
514.0 IPS |
|
|
Face Detection (Q)
|
100% |
61962
736.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8332
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99702
768.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
171512
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24977
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234008
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298646
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5805
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50229
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85872
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6153
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6258
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16399
282.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18437
318.6 IPS |
