Mac16,12
Geekbench AI Score
8264
Single Precision Score
9557
Half Precision Score
9156
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 05:57 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4145
770.8 IPS |
|
|
Image Classification (HP)
|
100% |
4476
832.3 IPS |
|
|
Image Classification (Q)
|
96% |
3958
739.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6242
101.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6700
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6434
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22006
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25064
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24471
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
4368
346.4 IPS |
|
|
Object Detection (HP)
|
100% |
4671
370.5 IPS |
|
|
Object Detection (Q)
|
92% |
4397
351.0 IPS |
|
|
Face Detection (SP)
|
100% |
11665
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
14559
173.0 IPS |
|
|
Face Detection (Q)
|
100% |
11867
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18414
141.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20175
155.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
18506
144.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48960
62.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56372
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
54652
70.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9549
352.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10116
373.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8791
324.6 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1834
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2447
42.3 IPS |
