Mac16,12
Geekbench AI Score
8831
Single Precision Score
10447
Half Precision Score
9719
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 10 2025 05:37 PM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4626
860.4 IPS |
|
|
Image Classification (HP)
|
100% |
4899
911.1 IPS |
|
|
Image Classification (Q)
|
96% |
4561
851.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7132
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7693
124.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7655
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27949
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29998
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29257
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
4646
368.6 IPS |
|
|
Object Detection (HP)
|
100% |
5247
416.2 IPS |
|
|
Object Detection (Q)
|
92% |
4803
383.4 IPS |
|
|
Face Detection (SP)
|
100% |
12561
149.3 IPS |
|
|
Face Detection (HP)
|
100% |
16156
192.0 IPS |
|
|
Face Detection (Q)
|
100% |
13271
157.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20618
158.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22663
174.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20926
163.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55863
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67463
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
65107
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11818
436.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12918
477.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11213
414.0 IPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5449
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5440
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1502
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1391
24.0 IPS |
