Mac16,12
Geekbench AI Score
7405
Single Precision Score
8579
Half Precision Score
7687
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 17 2025 02:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
4040
751.3 IPS |
|
|
Image Classification (HP)
|
100% |
4303
800.2 IPS |
|
|
Image Classification (Q)
|
97% |
3763
702.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4471
72.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5782
93.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5959
96.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22857
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24240
28.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23145
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
4390
348.2 IPS |
|
|
Object Detection (HP)
|
100% |
4723
374.6 IPS |
|
|
Object Detection (Q)
|
91% |
4005
320.0 IPS |
|
|
Face Detection (SP)
|
100% |
11876
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
14095
167.5 IPS |
|
|
Face Detection (Q)
|
100% |
10401
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18635
143.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20256
156.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17439
136.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49386
63.5 IPS |
|
|
Style Transfer (HP)
|
100% |
56213
72.3 IPS |
|
|
Style Transfer (Q)
|
96% |
52847
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9835
363.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10538
389.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8432
311.4 IPS |
|
|
Text Classification (SP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5527
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
779
13.5 IPS |
