Mac15,12
Geekbench AI Score
4051
Single Precision Score
30519
Half Precision Score
34424
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ThatsTeo_ |
| Upload Date | August 14 2025 03:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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 | 3.72 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1547
287.6 IPS |
|
|
Image Classification (HP)
|
100% |
16532
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
20244
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21712
352.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26865
435.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8767
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
117811
137.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
117767
138.0 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
18031
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20425
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3435
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
38011
451.6 IPS |
|
|
Face Detection (Q)
|
100% |
50487
599.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6946
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93569
720.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
117781
920.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21769
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
220958
284.0 IPS |
|
|
Style Transfer (Q)
|
96% |
213484
275.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5109
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47842
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56313
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4377
75.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4509
77.9 IPS |
