Mac16,12
Geekbench AI Score
6290
Single Precision Score
7465
Half Precision Score
6830
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 06:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2946
547.8 IPS |
|
|
Image Classification (HP)
|
100% |
3271
608.3 IPS |
|
|
Image Classification (Q)
|
96% |
3301
616.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5053
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5800
94.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5523
89.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14910
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16975
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14724
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
4069
322.8 IPS |
|
|
Object Detection (HP)
|
100% |
3789
300.5 IPS |
|
|
Object Detection (Q)
|
92% |
3258
260.0 IPS |
|
|
Face Detection (SP)
|
100% |
8427
100.1 IPS |
|
|
Face Detection (HP)
|
100% |
11570
137.5 IPS |
|
|
Face Detection (Q)
|
100% |
9427
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14747
113.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14974
115.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14105
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38589
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40926
52.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34672
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8171
301.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9317
344.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8274
305.5 IPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2993
4.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2983
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1558
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2221
38.4 IPS |
