Mac16,12
Geekbench AI Score
1594
Single Precision Score
17804
Half Precision Score
25344
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | July 08 2025 12:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 2.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (HP)
|
100% |
9411
1.75 KIPS |
|
|
Image Classification (Q)
|
97% |
10980
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
425
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
13797
223.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14347
232.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3836
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
48530
56.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
109953
128.9 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (HP)
|
100% |
9409
746.3 IPS |
|
|
Object Detection (Q)
|
91% |
12912
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
20939
248.8 IPS |
|
|
Face Detection (Q)
|
100% |
35348
420.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3396
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55596
428.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
88989
695.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8496
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
130754
168.1 IPS |
|
|
Style Transfer (Q)
|
96% |
185894
239.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27350
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46106
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (HP)
|
99% |
1531
2.04 KIPS |
|
|
Text Classification (Q)
|
93% |
1762
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2364
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8470
145.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10295
177.9 IPS |
