Mac16,12
Geekbench AI Score
4901
Single Precision Score
8040
Half Precision Score
6435
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | December 05 2025 08:22 AM |
| Views | 11 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.8 IPS |
|
|
Image Classification (Q)
|
96% |
2340
436.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3172
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3533
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9971
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19401
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16591
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7673
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4442
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14055
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9902
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23957
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38705
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31737
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6034
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7164
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4959
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6020
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6004
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4510
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7989
138.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7902
136.5 IPS |
