Mac16,1
Geekbench AI Score
8535
Single Precision Score
10284
Half Precision Score
10075
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | February 07 2025 08:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
4633
861.7 IPS |
|
|
Image Classification (HP)
|
100% |
5085
945.6 IPS |
|
|
Image Classification (Q)
|
97% |
4379
817.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4835
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6975
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7614
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29901
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32130
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30699
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
4968
394.1 IPS |
|
|
Object Detection (HP)
|
100% |
5549
440.2 IPS |
|
|
Object Detection (Q)
|
91% |
4714
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
12648
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
16611
197.4 IPS |
|
|
Face Detection (Q)
|
100% |
12444
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21522
165.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23920
184.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
20305
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58732
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72054
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67433
87.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12489
461.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13497
498.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10895
402.3 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5263
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5415
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2222
38.4 IPS |
