Mac16,10
Geekbench AI Score
4736
Single Precision Score
37271
Half Precision Score
52902
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 23 2024 08:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 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% |
2037
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
18090
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
26951
5.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21806
353.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30427
493.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10094
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123776
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
233546
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
18897
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26314
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
44071
523.7 IPS |
|
|
Face Detection (Q)
|
100% |
64343
764.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99907
769.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169439
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25347
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232516
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
299531
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5827
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50641
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86076
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6539
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6653
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16540
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18218
314.8 IPS |
