Mac16,1
Geekbench AI Score
9216
Single Precision Score
11095
Half Precision Score
9760
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | feranick |
| Upload Date | November 12 2024 06:27 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4609
857.2 IPS |
|
|
Image Classification (HP)
|
100% |
4990
928.0 IPS |
|
|
Image Classification (Q)
|
97% |
4338
809.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4979
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7046
114.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7577
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29788
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32073
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30627
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
5020
398.2 IPS |
|
|
Object Detection (HP)
|
100% |
5406
428.8 IPS |
|
|
Object Detection (Q)
|
91% |
4662
372.5 IPS |
|
|
Face Detection (SP)
|
100% |
12991
154.4 IPS |
|
|
Face Detection (HP)
|
100% |
16393
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
12457
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21382
164.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23625
182.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19878
155.4 IPS |
|
|
Style Transfer (SP)
|
100% |
60338
77.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71934
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
67872
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12310
454.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13720
506.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10685
394.6 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2066
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2220
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1714
29.6 IPS |
