Mac16,10
Geekbench AI Score
4374
Single Precision Score
5223
Half Precision Score
4855
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 23 2024 08:05 AM |
| Views | 2 |
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 | 3.01 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
913
169.8 IPS |
|
|
Image Classification (HP)
|
100% |
937
174.3 IPS |
|
|
Image Classification (Q)
|
97% |
890
166.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3628
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4677
75.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5041
81.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23960
28.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25444
29.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24640
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
1825
144.7 IPS |
|
|
Object Detection (Q)
|
91% |
1718
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
7620
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
8764
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
7109
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12271
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13092
100.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11821
92.4 IPS |
|
|
Style Transfer (SP)
|
100% |
41703
53.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50068
64.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47208
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3958
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4265
157.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3898
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3318
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
748
12.9 IPS |
