Mac16,12
Geekbench AI Score
8867
Single Precision Score
10531
Half Precision Score
10494
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mthocker |
| Upload Date | April 10 2025 11:19 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4387
815.8 IPS |
|
|
Image Classification (HP)
|
100% |
4791
890.9 IPS |
|
|
Image Classification (Q)
|
96% |
4480
836.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7103
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7669
124.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7640
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27748
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29768
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29098
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4550
360.9 IPS |
|
|
Object Detection (HP)
|
100% |
5155
408.9 IPS |
|
|
Object Detection (Q)
|
92% |
4762
380.1 IPS |
|
|
Face Detection (SP)
|
100% |
12504
148.6 IPS |
|
|
Face Detection (HP)
|
100% |
16510
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
13085
155.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20541
158.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22434
172.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20477
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55858
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67046
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
64671
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11542
426.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12789
472.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10984
405.6 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5409
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3318
57.3 IPS |
