Mac16,10
Geekbench AI Score
4712
Single Precision Score
36416
Half Precision Score
50814
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 09:56 PM |
| Views | 8 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
18528
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
25676
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21487
348.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29780
482.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9984
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123969
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232747
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.5 IPS |
|
|
Object Detection (HP)
|
100% |
18502
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26348
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
43702
519.3 IPS |
|
|
Face Detection (Q)
|
100% |
61039
725.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8421
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99123
763.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169758
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25418
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234667
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
299046
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49727
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83999
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5404
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5180
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18156
313.8 IPS |
