Mac16,12
Geekbench AI Score
4282
Single Precision Score
6954
Half Precision Score
5374
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ptmeza |
| Upload Date | December 04 2025 03:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1814
337.4 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
96% |
1945
363.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2871
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3162
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8516
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
16019
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13744
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
97% |
3420
272.3 IPS |
|
|
Object Detection (Q)
|
94% |
2352
187.5 IPS |
|
|
Face Detection (SP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
6548
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3772
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7099
54.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
12038
93.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8335
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19423
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33146
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22825
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5380
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6544
241.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4384
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5238
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5067
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3861
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6358
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6351
109.8 IPS |
