Mac15,12
Geekbench AI Score
2422
Single Precision Score
14203
Half Precision Score
14709
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Gelert |
| Upload Date | August 15 2024 06:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1330
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
7769
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
8405
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6619
107.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6629
107.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8410
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
104158
121.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
103430
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
10032
795.8 IPS |
|
|
Object Detection (Q)
|
93% |
10731
856.3 IPS |
|
|
Face Detection (SP)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
13357
158.7 IPS |
|
|
Face Detection (Q)
|
100% |
15706
186.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4866
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
59189
456.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
64094
495.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12629
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
153712
197.6 IPS |
|
|
Style Transfer (Q)
|
100% |
152869
196.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21445
791.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26516
982.4 IPS |
|
|
Text Classification (SP)
|
100% |
461
615.5 IPS |
|
|
Text Classification (HP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (Q)
|
93% |
670
899.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2098
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2805
48.5 IPS |
