Mac16,10
Geekbench AI Score
8456
Single Precision Score
10281
Half Precision Score
9474
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 25 2025 09:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4654
865.6 IPS |
|
|
Image Classification (HP)
|
100% |
4994
928.6 IPS |
|
|
Image Classification (Q)
|
97% |
4324
806.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4962
80.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7022
113.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7564
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29763
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31986
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30488
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4983
395.3 IPS |
|
|
Object Detection (HP)
|
100% |
5418
429.8 IPS |
|
|
Object Detection (Q)
|
91% |
4654
371.9 IPS |
|
|
Face Detection (SP)
|
100% |
12192
144.9 IPS |
|
|
Face Detection (HP)
|
100% |
15906
189.0 IPS |
|
|
Face Detection (Q)
|
100% |
12480
148.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21392
164.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23634
182.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20185
157.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58813
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71776
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
68022
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12499
461.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13719
506.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10783
398.2 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5368
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5428
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1252
21.6 IPS |
