Mac16,10
Geekbench AI Score
4735
Single Precision Score
36460
Half Precision Score
50490
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 01 2024 08:20 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2043
380.0 IPS |
|
|
Image Classification (HP)
|
100% |
17369
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24317
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21919
355.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
28821
467.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10047
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123954
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232972
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
18269
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26367
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41235
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
60953
724.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8412
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99091
763.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
169665
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25471
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232422
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299958
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5748
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49526
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83657
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6199
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5283
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16518
284.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18242
315.2 IPS |
