Mac16,12
Geekbench AI Score
1444
Single Precision Score
2541
Half Precision Score
1737
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | asnaprik |
| Upload Date | May 10 2025 08:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.4 IPS |
|
|
Image Classification (Q)
|
96% |
2308
431.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3213
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3571
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9837
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19382
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16417
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.6 IPS |
|
|
Object Detection (HP)
|
97% |
3728
296.8 IPS |
|
|
Object Detection (Q)
|
94% |
431
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (HP)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (Q)
|
100% |
716
8.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
1269
9.78 IPS |
|
|
Depth Estimation (HP)
|
97% |
2247
17.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1606
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2688
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
5427
6.98 IPS |
|
|
Style Transfer (Q)
|
96% |
4399
5.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
993
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
713
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
344
458.8 IPS |
|
|
Text Classification (HP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (Q)
|
93% |
1013
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1177
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1178
20.4 IPS |
