Mac16,12
Geekbench AI Score
2812
Single Precision Score
3494
Half Precision Score
2932
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 2.15 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2023
376.3 IPS |
|
|
Image Classification (HP)
|
100% |
1503
279.6 IPS |
|
|
Image Classification (Q)
|
96% |
1040
194.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3150
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3065
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5120
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
6676
7.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
5137
6.02 IPS |
|
|
Object Detection (SP)
|
100% |
1107
87.8 IPS |
|
|
Object Detection (HP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (Q)
|
92% |
1016
81.1 IPS |
|
|
Face Detection (SP)
|
100% |
5297
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
6755
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
2836
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4637
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7892
60.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4080
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14258
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14136
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35887
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5585
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3876
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.5 IPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
93% |
1206
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1107
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1458
25.2 IPS |
