Mac15,12
Geekbench AI Score
4142
Single Precision Score
31437
Half Precision Score
35077
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1599
297.4 IPS |
|
|
Image Classification (HP)
|
100% |
17689
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
20419
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21763
352.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27268
442.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8954
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121209
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
121103
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
18510
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20988
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
39914
474.3 IPS |
|
|
Face Detection (Q)
|
100% |
46915
557.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7161
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98753
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
125722
982.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22421
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230149
295.9 IPS |
|
|
Style Transfer (Q)
|
96% |
221874
286.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5274
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48422
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58337
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4595
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4804
83.0 IPS |
