Mac15,12
Geekbench AI Score
6809
Single Precision Score
7964
Half Precision Score
7054
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 03:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3929
730.6 IPS |
|
|
Image Classification (HP)
|
100% |
4196
780.3 IPS |
|
|
Image Classification (Q)
|
97% |
3596
671.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4032
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5225
84.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5288
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20362
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21468
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20501
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
4054
321.5 IPS |
|
|
Object Detection (HP)
|
100% |
4395
348.6 IPS |
|
|
Object Detection (Q)
|
91% |
3728
297.9 IPS |
|
|
Face Detection (SP)
|
100% |
11004
130.8 IPS |
|
|
Face Detection (HP)
|
100% |
13074
155.3 IPS |
|
|
Face Detection (Q)
|
100% |
9496
112.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16975
130.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18720
144.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
16102
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44724
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49900
64.1 IPS |
|
|
Style Transfer (Q)
|
96% |
47008
60.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9145
337.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9793
361.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7773
287.0 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5292
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5234
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
718
12.4 IPS |
