Mac16,10
Geekbench AI Score
9179
Single Precision Score
11053
Half Precision Score
9697
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pu154r |
| Upload Date | November 14 2024 05:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4573
850.5 IPS |
|
|
Image Classification (HP)
|
100% |
4957
921.8 IPS |
|
|
Image Classification (Q)
|
97% |
4335
809.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4895
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7019
113.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7555
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29668
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32036
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30537
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4994
396.1 IPS |
|
|
Object Detection (HP)
|
100% |
5406
428.8 IPS |
|
|
Object Detection (Q)
|
91% |
4646
371.3 IPS |
|
|
Face Detection (SP)
|
100% |
12939
153.7 IPS |
|
|
Face Detection (HP)
|
100% |
16408
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
12088
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21326
164.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23503
181.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19738
154.3 IPS |
|
|
Style Transfer (SP)
|
100% |
58686
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71692
92.2 IPS |
|
|
Style Transfer (Q)
|
96% |
67938
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12472
460.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13734
507.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10711
395.5 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2151
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1676
29.0 IPS |
