Mac16,12
Geekbench AI Score
8959
Single Precision Score
10358
Half Precision Score
9702
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | deutros |
| Upload Date | July 09 2025 02:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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% |
4496
836.1 IPS |
|
|
Image Classification (HP)
|
100% |
4777
888.4 IPS |
|
|
Image Classification (Q)
|
96% |
4503
841.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7216
117.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7803
126.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7603
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27895
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29729
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29421
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4632
367.4 IPS |
|
|
Object Detection (HP)
|
100% |
5156
409.0 IPS |
|
|
Object Detection (Q)
|
92% |
4745
378.8 IPS |
|
|
Face Detection (SP)
|
100% |
12622
150.0 IPS |
|
|
Face Detection (HP)
|
100% |
16048
190.7 IPS |
|
|
Face Detection (Q)
|
100% |
13120
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20417
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21916
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20055
156.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55248
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66751
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64979
83.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11797
435.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11465
423.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10359
382.5 IPS |
|
|
Text Classification (SP)
|
100% |
2894
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5425
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1610
27.8 IPS |
