Mac15,12
Geekbench AI Score
4032
Single Precision Score
31243
Half Precision Score
35014
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 29 2025 10:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1551
288.4 IPS |
|
|
Image Classification (HP)
|
100% |
17486
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
20153
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21592
350.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26575
430.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8613
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
121821
142.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
121561
142.5 IPS |
|
|
Object Detection (SP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (HP)
|
100% |
18498
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20762
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3355
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
39764
472.5 IPS |
|
|
Face Detection (Q)
|
100% |
51877
616.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7037
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97819
753.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124054
969.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22108
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
229443
295.0 IPS |
|
|
Style Transfer (Q)
|
96% |
220814
285.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5118
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47704
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57082
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5425
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5380
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4510
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4696
81.1 IPS |
