Mac16,10
Geekbench AI Score
8679
Single Precision Score
10513
Half Precision Score
9198
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 08:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
4762
885.5 IPS |
|
|
Image Classification (HP)
|
100% |
5021
933.7 IPS |
|
|
Image Classification (Q)
|
97% |
4363
814.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4875
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6974
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7595
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29725
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32126
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30604
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4969
394.2 IPS |
|
|
Object Detection (HP)
|
100% |
5475
434.3 IPS |
|
|
Object Detection (Q)
|
91% |
4637
370.5 IPS |
|
|
Face Detection (SP)
|
100% |
12644
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
16174
192.2 IPS |
|
|
Face Detection (Q)
|
100% |
11646
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21369
164.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23807
183.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19872
155.3 IPS |
|
|
Style Transfer (SP)
|
100% |
58659
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71986
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68007
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12550
463.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13763
508.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10885
401.9 IPS |
|
|
Text Classification (SP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5422
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1158
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
993
17.2 IPS |
