Mac16,10
Geekbench AI Score
8678
Single Precision Score
10461
Half Precision Score
9279
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jakub007 |
| Upload Date | November 19 2024 10:24 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
4619
859.1 IPS |
|
|
Image Classification (HP)
|
100% |
4979
926.0 IPS |
|
|
Image Classification (Q)
|
97% |
4357
813.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4861
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6968
112.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7526
122.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29721
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32041
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30507
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4962
393.6 IPS |
|
|
Object Detection (HP)
|
100% |
5460
433.1 IPS |
|
|
Object Detection (Q)
|
91% |
4641
370.9 IPS |
|
|
Face Detection (SP)
|
100% |
12942
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
15887
188.8 IPS |
|
|
Face Detection (Q)
|
100% |
12330
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21249
163.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23687
182.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19842
155.1 IPS |
|
|
Style Transfer (SP)
|
100% |
59651
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71665
92.1 IPS |
|
|
Style Transfer (Q)
|
96% |
67930
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12462
460.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13731
507.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10744
396.7 IPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5403
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1037
17.9 IPS |
