Mac16,10
Geekbench AI Score
4707
Single Precision Score
38172
Half Precision Score
52297
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:25 PM |
| Views | 3 |
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% |
2034
378.3 IPS |
|
|
Image Classification (HP)
|
100% |
18692
3.48 KIPS |
|
|
Image Classification (Q)
|
97% |
28931
5.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21949
355.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
28568
463.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9993
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124163
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
226618
265.6 IPS |
|
|
Object Detection (SP)
|
100% |
2247
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
18761
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26419
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3993
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
44103
524.0 IPS |
|
|
Face Detection (Q)
|
100% |
58036
689.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99878
769.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170164
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25282
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235905
303.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299074
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51625
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
93203
3.44 KIPS |
|
|
Text Classification (SP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
7506
10.0 KIPS |
|
|
Text Classification (Q)
|
93% |
6024
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17071
294.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18652
322.3 IPS |
