Mac16,10
Geekbench AI Score
8556
Single Precision Score
9908
Half Precision Score
9123
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 05:02 PM |
| Views | 2 |
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% |
4859
903.7 IPS |
|
|
Image Classification (HP)
|
100% |
5252
976.7 IPS |
|
|
Image Classification (Q)
|
97% |
4356
813.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4908
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7184
116.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7576
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29913
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32219
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30663
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4972
394.4 IPS |
|
|
Object Detection (HP)
|
100% |
5581
442.7 IPS |
|
|
Object Detection (Q)
|
91% |
4667
372.9 IPS |
|
|
Face Detection (SP)
|
100% |
12825
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
15944
189.5 IPS |
|
|
Face Detection (Q)
|
100% |
12335
146.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21403
164.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23828
183.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19948
155.9 IPS |
|
|
Style Transfer (SP)
|
100% |
58718
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
71957
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
67641
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12412
458.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9952
367.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10845
400.5 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5425
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5194
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
903
15.6 IPS |
