Mac15,12
Geekbench AI Score
4119
Single Precision Score
30851
Half Precision Score
34510
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Haitao |
| Upload Date | August 19 2025 03:17 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1577
293.3 IPS |
|
|
Image Classification (HP)
|
100% |
16002
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
18221
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22288
361.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27442
444.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8723
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
121470
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
121484
142.4 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
17698
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20313
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
39385
468.0 IPS |
|
|
Face Detection (Q)
|
100% |
51717
614.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7126
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97191
748.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
122532
958.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22325
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
228333
293.5 IPS |
|
|
Style Transfer (Q)
|
96% |
219599
283.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5202
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48071
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55305
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5356
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5337
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4728
81.7 IPS |
