Mac16,10
Geekbench AI Score
9170
Single Precision Score
11119
Half Precision Score
9787
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 09:59 PM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4605
856.3 IPS |
|
|
Image Classification (HP)
|
100% |
5009
931.4 IPS |
|
|
Image Classification (Q)
|
97% |
4343
810.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4838
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7071
114.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7818
126.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30194
35.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32037
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30447
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
5038
399.6 IPS |
|
|
Object Detection (HP)
|
100% |
5449
432.2 IPS |
|
|
Object Detection (Q)
|
91% |
4631
370.1 IPS |
|
|
Face Detection (SP)
|
100% |
12839
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
16208
192.6 IPS |
|
|
Face Detection (Q)
|
100% |
12029
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21321
164.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23455
180.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19730
154.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58644
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71597
92.0 IPS |
|
|
Style Transfer (Q)
|
96% |
67940
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12460
460.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13723
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10818
399.4 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5655
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2067
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1738
30.0 IPS |
