Mac15,12
Geekbench AI Score
6525
Single Precision Score
7627
Half Precision Score
6918
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | January 28 2025 09:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
3583
666.3 IPS |
|
|
Image Classification (HP)
|
100% |
4007
745.3 IPS |
|
|
Image Classification (Q)
|
97% |
3385
631.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3517
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4697
76.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5105
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19083
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20815
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19573
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
3794
300.9 IPS |
|
|
Object Detection (HP)
|
100% |
4203
333.4 IPS |
|
|
Object Detection (Q)
|
91% |
3534
282.4 IPS |
|
|
Face Detection (SP)
|
100% |
10093
119.9 IPS |
|
|
Face Detection (HP)
|
100% |
12270
145.8 IPS |
|
|
Face Detection (Q)
|
100% |
8789
104.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15759
121.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17613
135.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
15241
119.1 IPS |
|
|
Style Transfer (SP)
|
100% |
41652
53.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48357
62.2 IPS |
|
|
Style Transfer (Q)
|
96% |
44540
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8650
319.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9297
343.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7410
273.6 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5157
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
922
15.9 IPS |
