Mac16,12
Geekbench AI Score
4930
Single Precision Score
7994
Half Precision Score
6426
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | vinku |
| Upload Date | January 04 2026 09:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2096
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.4 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3192
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3543
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9996
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19433
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16641
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
3759
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4218
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7610
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4406
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8466
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14010
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9839
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24125
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38559
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31722
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7165
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
5806
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5953
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4537
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7978
137.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7995
138.2 IPS |
