Mac15,12
Geekbench AI Score
4118
Single Precision Score
31437
Half Precision Score
34971
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 06:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1602
297.9 IPS |
|
|
Image Classification (HP)
|
100% |
17729
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
20875
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22063
357.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27089
439.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8889
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121318
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
120924
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.1 IPS |
|
|
Object Detection (HP)
|
100% |
18559
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
21096
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3428
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
39430
468.5 IPS |
|
|
Face Detection (Q)
|
100% |
46101
547.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7166
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98923
762.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
124579
974.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22334
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
229536
295.1 IPS |
|
|
Style Transfer (Q)
|
96% |
219819
283.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48195
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58543
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5405
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5353
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4590
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4794
82.8 IPS |
