Mac16,12
Geekbench AI Score
4954
Single Precision Score
8015
Half Precision Score
6440
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 04:52 PM |
| Views | 2 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2351
439.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3154
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3534
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10072
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19453
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16653
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7638
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4438
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8462
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14037
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9896
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24376
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38702
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31754
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7166
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4964
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5927
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7953
137.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8023
138.6 IPS |
