Mac15,12
Geekbench AI Score
4002
Single Precision Score
30481
Half Precision Score
34037
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | chonaso |
| Upload Date | March 13 2026 02:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1499
278.9 IPS |
|
|
Image Classification (HP)
|
100% |
16511
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
18812
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22297
361.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27500
445.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8357
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
122089
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120869
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
17588
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
20629
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
3408
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
39529
469.7 IPS |
|
|
Face Detection (Q)
|
100% |
51829
615.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6954
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
97867
754.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
122804
960.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21958
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
229460
295.0 IPS |
|
|
Style Transfer (Q)
|
96% |
220803
284.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48695
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55960
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5608
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3719
64.3 IPS |
