Mac16,1
Geekbench AI Score
4761
Single Precision Score
36588
Half Precision Score
51497
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tifreitas |
| Upload Date | November 07 2024 06:42 PM |
| Views | 4 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
17831
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
24987
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21954
355.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30338
491.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10075
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123366
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232768
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
18195
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25872
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
43607
518.1 IPS |
|
|
Face Detection (Q)
|
100% |
62500
742.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98912
762.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
169121
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25343
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232298
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297609
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48746
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82739
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6053
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16397
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18238
315.2 IPS |
