Mac16,10
Geekbench AI Score
4750
Single Precision Score
36596
Half Precision Score
51439
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | AlClout |
| Upload Date | November 14 2024 07:06 PM |
| Views | 13 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
17258
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24958
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21902
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30249
490.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123724
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
233223
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
18336
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26474
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3993
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43999
522.8 IPS |
|
|
Face Detection (Q)
|
100% |
60899
723.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8429
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99109
763.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168917
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25395
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233381
300.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299199
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49309
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83466
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
6090
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5986
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16442
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18097
312.7 IPS |
