Mac16,12
Geekbench AI Score
9997
Single Precision Score
11500
Half Precision Score
10649
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 04:43 PM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4502
837.3 IPS |
|
|
Image Classification (HP)
|
100% |
4955
921.4 IPS |
|
|
Image Classification (Q)
|
96% |
4494
839.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6991
113.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7959
129.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7647
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
26918
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30990
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30240
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4579
363.2 IPS |
|
|
Object Detection (HP)
|
100% |
5187
411.4 IPS |
|
|
Object Detection (Q)
|
92% |
4780
381.6 IPS |
|
|
Face Detection (SP)
|
100% |
12321
146.4 IPS |
|
|
Face Detection (HP)
|
100% |
16572
196.9 IPS |
|
|
Face Detection (Q)
|
100% |
13292
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20196
155.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22437
172.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20259
158.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54660
70.3 IPS |
|
|
Style Transfer (HP)
|
100% |
62687
80.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64485
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11452
422.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11827
436.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10450
385.9 IPS |
|
|
Text Classification (SP)
|
100% |
3353
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5760
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5694
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4925
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4020
69.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3654
63.2 IPS |
