Mac16,12
Geekbench AI Score
8421
Single Precision Score
10094
Half Precision Score
8799
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 04:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C2101) |
| 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% |
4581
852.0 IPS |
|
|
Image Classification (HP)
|
100% |
4991
928.2 IPS |
|
|
Image Classification (Q)
|
97% |
4322
806.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4758
77.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6845
111.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7339
119.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28033
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30117
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28653
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4748
376.6 IPS |
|
|
Object Detection (HP)
|
100% |
5363
425.4 IPS |
|
|
Object Detection (Q)
|
91% |
4563
364.6 IPS |
|
|
Face Detection (SP)
|
100% |
12723
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16280
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
12038
143.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21110
162.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23414
180.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20122
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54943
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67121
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63693
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12675
468.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13470
497.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10960
404.7 IPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
724
12.5 IPS |
