Mac15,12
Geekbench AI Score
8192
Single Precision Score
10280
Half Precision Score
8787
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | shivamx96 |
| Upload Date | August 29 2025 10:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4333
805.9 IPS |
|
|
Image Classification (HP)
|
100% |
4533
843.0 IPS |
|
|
Image Classification (Q)
|
96% |
4017
750.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6292
102.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6973
113.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6635
107.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24099
28.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26171
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23778
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
4387
348.0 IPS |
|
|
Object Detection (HP)
|
100% |
4850
384.7 IPS |
|
|
Object Detection (Q)
|
92% |
4301
343.3 IPS |
|
|
Face Detection (SP)
|
100% |
11364
135.0 IPS |
|
|
Face Detection (HP)
|
100% |
14828
176.2 IPS |
|
|
Face Detection (Q)
|
100% |
11785
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18186
140.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20161
155.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
18672
146.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50301
64.7 IPS |
|
|
Style Transfer (HP)
|
100% |
59718
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
57452
74.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10511
388.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11675
431.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10124
373.8 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5436
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5430
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2902
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1450
25.1 IPS |
