Mac16,12
Geekbench AI Score
4785
Single Precision Score
37191
Half Precision Score
52019
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | geekgrunt |
| Upload Date | April 29 2025 08:32 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
18099
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
25232
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21870
354.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29663
480.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9944
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123060
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231334
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
18466
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
28101
2.25 KIPS |
|
|
Face Detection (SP)
|
100% |
4177
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
43991
522.7 IPS |
|
|
Face Detection (Q)
|
100% |
56170
667.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8514
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99752
768.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
172443
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
21629
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234161
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298673
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6072
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50148
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85840
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6541
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6502
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16701
287.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18470
319.2 IPS |
