Mac16,12
Geekbench AI Score
8227
Single Precision Score
9352
Half Precision Score
9344
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 06 2025 07:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4186
778.6 IPS |
|
|
Image Classification (HP)
|
100% |
4463
830.0 IPS |
|
|
Image Classification (Q)
|
96% |
3958
739.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6262
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6698
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6444
104.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22040
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25091
29.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24432
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4321
342.8 IPS |
|
|
Object Detection (HP)
|
100% |
4646
368.5 IPS |
|
|
Object Detection (Q)
|
92% |
4338
346.3 IPS |
|
|
Face Detection (SP)
|
100% |
11895
141.3 IPS |
|
|
Face Detection (HP)
|
100% |
14557
173.0 IPS |
|
|
Face Detection (Q)
|
100% |
11802
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18463
142.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20046
154.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
18300
142.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49281
63.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56403
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
54760
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9505
351.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10076
372.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8783
324.3 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5652
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5811
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3112
53.8 IPS |
