Mac16,12
Geekbench AI Score
9248
Single Precision Score
10497
Half Precision Score
9804
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | oldnick |
| Upload Date | May 04 2025 07:17 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4418
821.6 IPS |
|
|
Image Classification (HP)
|
100% |
4860
903.8 IPS |
|
|
Image Classification (Q)
|
96% |
4504
841.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7106
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7817
126.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7600
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27866
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29850
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29068
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4548
360.8 IPS |
|
|
Object Detection (HP)
|
100% |
5158
409.2 IPS |
|
|
Object Detection (Q)
|
92% |
4745
378.7 IPS |
|
|
Face Detection (SP)
|
100% |
12757
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
16018
190.3 IPS |
|
|
Face Detection (Q)
|
100% |
13352
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20387
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22344
172.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20566
160.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55963
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66890
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64632
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11562
426.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12720
469.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11011
406.6 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2366
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1621
28.0 IPS |
