Mac16,10
Geekbench AI Score
4622
Single Precision Score
7697
Half Precision Score
6128
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | vinebeat |
| Upload Date | November 23 2024 09:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
3229
600.4 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3110
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3567
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9808
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18764
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16310
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.5 IPS |
|
|
Object Detection (Q)
|
94% |
2526
201.3 IPS |
|
|
Face Detection (SP)
|
100% |
3781
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
7300
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4234
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8076
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14075
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9686
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23734
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37845
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31563
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5781
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4745
175.2 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5608
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5217
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6871
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6939
119.9 IPS |
